Find AI Work That Works for You

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ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEAs an intern at Baseten, you’ll work on real projects and contribute to systems and products that help our users ship their ML products. You won't be off in a corner doing "intern work" – we're moving too fast and have too much to build for that. Instead, you'll receive hands-on support and mentorship to help you grow fast and make a real impact quickly.Engineering interns can join one of our four teams:Core Product: You’ll help build the core Baseten developer workflows that enable users to get value out of ML models. The Core Product team is at the forefront of new product development across a large surface area, including model APIs, training, and dedicated deployment.Forward Deployed Engineering: You will partner closely with our customers to understand their problems and engineer ML solutions. This role provides a unique front-row view into the opportunities and challenges facing companies implementing ML and AI solutions at scale.Model Performance: You will implement, refine, and productionize cutting-edge techniques (e.g. quantization, speculative decoding, KV cache reuse, chunked prefill, and LoRA) for ML model inference and infrastructure.Infrastructure: You'll architect and support development of our ML inference platform that powers production AI applications. You'll make technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability.RESPONSIBILITIESOwn small projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end executionNavigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexityFix bugs and resolve customer issues with urgencyHelp drive long-term improvements to reliability of systems and velocity of developmentDemonstrate pride, ownership, and accountability for your work, expecting the same from your teammatesREQUIREMENTS2+ prior internships or research experiencesMinimum of 3-months commitment required to internWorking towards a Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. Advanced coursework in machine learning, systems, and infrastructure is a plus. Graduating in 2025 or 2026.A 5-day workweek, during which you will be in-office in San Francisco or New York a minimum of 3 days a weekFamiliarity with building tools for technical audiencesProficient coding abilities in one or more popular programming or scripting languagesBENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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About the roleAs a Data Scientist at Greenlite, you'll assess and improve the quality of AI systems that help banks and fintechs fight financial crime at a massive scale. You'll work directly with our biggest customers—institutions serving over a billion people—establishing metrics, guidelines, and evaluation frameworks that ensure our AI agents meet the highest standards for accuracy and regulatory compliance. Real customer needs inform your data science work and directly impact our AI quality, so you need to build robust evaluation systems, work effectively with engineering and product teams, understand regulated environments, and adapt quickly.This is a core data science role on our Engineering team. You're an exceptional data scientist who understands that financial institutions need rigorous quality assessment for AI systems operating in highly regulated environments. You'll establish evaluation metrics, design feedback loops, and create guidelines that ensure our LLM outputs meet compliance standards and customer expectations. You're not just analyzing data—you're defining quality standards based on what our most sophisticated customers need for reliable AI-powered compliance operations.Please note: We work in person Monday through Friday in our SF office.What you'll doMonth 1:Master our AI agent platform and understand complex financial compliance quality requirementsShadow experienced team members on LLM output evaluation and customer quality assessmentsEstablish your first evaluation metrics for compliance use cases like sanctions screening and AML investigationsMonth 2:Own end-to-end quality assessment frameworks for major bank and fintech AI deploymentsBuild comprehensive evaluation dashboards and statistical analysis of LLM performance across customer environmentsPartner with engineering and product teams to establish quality guidelines and improvement recommendationsBecome the go-to expert for AI quality assessment in financial compliance applicationsOngoing:Design and implement rigorous evaluation frameworks for LLM outputs in highly regulated environmentsEstablish metrics and guidelines that ensure AI agent responses meet regulatory compliance and customer quality standardsLead statistical analysis of AI performance trends, failure modes, and improvement opportunities across customer deploymentsCollaborate with Engineering, Customer, and Product teams as the AI quality expertWhat we're looking for3-5 years of industry experience in data science, AI evaluation, or machine learning with focus on quality assessmentBachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, or other quantitative fieldStrong proficiency in Python and experience with statistical analysis libraries (pandas, numpy, scipy, matplotlib)Experience with LLM evaluation techniques, prompt analysis, and AI system quality assessmentStrong statistical knowledge including experimental design, hypothesis testing, and performance measurementExperience with SQL, data visualization, and building dashboards for stakeholder communicationUnderstanding of evaluation metrics, A/B testing, and statistical significance in AI system assessmentBonus points:Experience with LLM evaluation frameworks, prompt engineering assessment, or AI safety metricsBackground in financial services, compliance, or other highly regulated industriesExperience with statistical analysis of text data, content quality assessment, or human-AI interaction evaluationFamiliarity with regulatory requirements for AI systems in banking or financial servicesPrevious experience establishing quality standards and evaluation processes for AI/ML productsAbout youYou're a data scientist who thrives at the intersection of statistical rigor and AI quality assessment. You understand that practical data science in AI means establishing reliable metrics and evaluation frameworks that ensure LLM outputs meet the accuracy and compliance standards that regulated industries demand. You're comfortable balancing technical analysis with clear communication of quality insights, and you want your evaluation expertise to have a direct, measurable impact on how financial institutions trust and adopt AI to fight crime.Compensation & BenefitsComprehensive healthcare, 401k matching, commuter benefits15 days PTO + holidays, unlimited sick daysFlexible leave optionsWorking late? We've got you covered with DoorDash and an Uber homeJoin us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products are making a huge impact in the Healthcare industry. As a full stack engineer you will be partnering with AI engineers to build out platforms for Agentic Orchestration, Model Evaluation, Data Insights and Dataset Curation to supercharge AI development. If you value working on greenfield projects and a high level of ownership, this is the right role for you.Tech Stack: NextJS, Typescript, Python, Postgres, Docker, KubernetesWhat You’ll DoBuilding new 0-1 full-stack platform for building, debugging and evaluating LLM outputsDesign intuitive front-end interfaces for evaluating AI systems and productsCollaborate with researchers, engineers, product and design to build and deliver full-stack solutionsEnhance our platform’s performance and scalability, with a focus on creating seamless user experiences.What You’ll BringStrong experience in full-stack software development, with the ability to work across the full-stack necessary to build scientific research platforms or production tools.3+ years of experience building and scaling distributed systems using modern technologies like TypeScript, Python, React, and Node.jsSelf-motivated with a willingness to take ownershipStrong communication skills and ability to work collaboratively in a team environmentBonus Points If…Hands-on experience integrating and working with Large Language Models (LLMs) and APIs, with familiarity with prompt engineeringWhy Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.About the RoleAs a Conversation Designer at Hippocratic AI, you will design, prototype, and refine user-centric conversational flows for LLM-driven healthcare AI applications. You’ll collaborate closely with clinicians, researchers, engineers, and product teams to ensure that all AI interactions are natural, empathetic, and effective across a variety of usability contexts, including patient intake, follow-up instructions, and clinical guidance. Your work will directly influence the safety, clarity, and success of AI interactions in real-world healthcare settings.ResponsibilitiesDevelop LLM-native conversational interactions tailored to healthcare scenarios. Create voice-based conversational designs that prioritize safety, empathy, and clarity while adapting to various contexts (e.g., patient interactions, clinician support).Collaborate with clinicians and engineers to design LLM prompts and responses that enhance interaction quality and effectiveness.Partner with the user research team to gather and incorporate feedback from healthcare providers to refine designs and ensure alignment with clinical workflows.Define and promote best practices and design guidelines for conversational interfaces in healthcare, ensuring consistent and high-quality interactions.Minimum QualificationsBachelor’s degree in Design, Human-Computer Interaction, Computer Science, or related field, or equivalent practical experience.Experience in product design, UX design, or conversation design.Experience designing voice-enabled or text-based interaction flows across various device types and contexts.Knowledge of conversational design principles, including cooperative principles, turn-taking, pragmatics, and cognitive load.Portfolio, website, or relevant work samples showcasing your conversational design work (please provide viewable links or access instructions).Preferred QualificationsMaster’s degree in Design, Human-Computer Interaction, Computer Science, or a related field.5+ years of experience designing conversational experiences, ideally with LLMs or AI-driven products.Experience working in healthcare, with an understanding of clinical workflows and patient-facing applications.Familiarity with speech and language technologies, including ASR, NLU, and TTS.Knowledge of safety and accessibility considerations in designing conversational systems.We are seeking a Conversation Designer who is passionate about creating intuitive and compassionate conversational experiences tailored to healthcare contexts. You will help design voice-enabled and text-based AI interactions for patient-facing and clinician-support applications, leveraging insights from healthcare providers and incorporating best practices in conversational design to drive better outcomes.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

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About the Program The Human Frontier Collective (HFC) brings together domain experts across research, clinical practice, and advanced professional work to contribute to high-impact projects in technology and reasoning systems. As a Medical Fellow, you will apply your clinical training to help develop and evaluate tools that interact with complex medical content. Your work will directly inform how emerging systems reason through diagnosis, triage, and patient care scenarios. PLEASE NOTE: This is a remote, contract-based role. We welcome international applicants based in the EU, Canada, Australia, and New Zealand. Engagements will run for approximately six months with flexible scheduling.  What You'll Do Design Complex Clinical Scenarios Create detailed case studies and clinical reasoning tasks across specialties to test how systems interpret symptoms, assess risks, and prioritize care. Evaluate Decision-Making Approaches Review and critique structured outputs for clinical safety, accuracy, and sound judgment. Identify errors in logic or inappropriate treatment suggestions. Shape Reasoning Frameworks Provide structured, example-driven feedback to improve how models understand differentials, guidelines, and clinical narratives. Work Across Specialized Projects Contribute to targeted workstreams in internal medicine, emergency care, radiology, psychiatry, and other domains aligned with your background. Who Should Apply Graduates of a licensed medical school (MD or DO), who are board certified and in residency / post residency / practicing / or with extensive practice Recent or current clinical experience in inpatient, outpatient, or academic settings Strong writing and clinical reasoning skills, with comfort assessing edge cases and nuanced scenarios Backgrounds welcome from internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields Nurse practitioners, physician assistants, and registered nurses with deep clinical experience may also be considered Fluency in written English is required Why Join the HFC? Contribute to High-Impact Work Apply your medical expertise to problems that require real judgment, not rote recall. Your input will directly influence how complex reasoning tasks are handled. Flexible Remote Work + Competitive Compensation Set your own schedule and contribute from anywhere. Most participants engage between 5-20 hours per week. Pathways for Growth High-impact contributors may be invited to join additional review projects, advisory roles, or research collaborations. How to Apply Submit your CV and a brief summary of your clinical background. Selected candidates will be invited to complete a short trial task and interview.PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Figure is an AI Robotics company developing a general-purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. We’re seeking a Supply Chain Intern to ensure the smooth flow of materials that bring our robots to life. You’ll directly contribute to our day-to-day operations by streamlining purchase order tracking, organizing vital supplier information, and supporting various operational initiatives. This is an opportunity to gain hands-on experience and see how a fast-paced robotics company operates behind the scenes.  Strong performers will have the potential to be considered for a full-time Global Sourcing Analyst (GSA) or Global Supply Manager (GSM) role after graduation. Responsibilities Sourcing Support the execution of global sourcing strategies across a variety of commodities Assist with the collection and organization of Request for Quotation (RFQ) data, such as supplier capabilities and certifications Negotiate Non-Disclosure Agreements (NDAs) with suppliers, ensuring our intellectual property is protected Engage with suppliers, fostering collaboration and continuous improvement Procurement Create and manage purchase orders, communicating with suppliers for material status updates and expedite critical deliveries Track inbound and outbound shipments, ensuring timely delivery and resolving supply chain disruptions Support the identification of alternate sources for materials to mitigate shortages and maintain production readiness Collaborate with internal stakeholders (engineering, production, quality) to ensure part specifications and requirements are met Others Assist in analyzing supply chain data to identify opportunities for improvement in optimization, material planning, and decision-making Participate in cross-functional projects to align sourcing activities with product development and production timelines Requirements Graduated with a Bachelor’s degree in Engineering, Business, Supply Chain, or related field Currently pursuing a Master’s degree in Engineering, Business, Supply Chain, or related field or MBA 2+ years of full-time working experience in supply chain, sales engineering or related fields  Strong organization and communication skills Meticulous attention to detail Skilled at establishing strong relationships with suppliers and internal stakeholders Bonus Qualifications Previous work at a startup or on a very lean team

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Director of Machine Learning to guide the research, development, and deployment of our portfolio of machine learning (ML) systems.  We are developing a broad suite of ML technologies that enable “AI for the Real World” including but not limited to computer vision systems, edge and IoT devices, business analysis tools and user facing applications.  In this role,  You will lead multiple ML teams spanning multiple disciplines, including data engineering and data science, as well as the ML algorithms and ML applications teams that power Orion, our computer vision platform.  As a senior leader within the Advanced Technologies Group (ATG), you will develop and execute on a robust machine learning roadmap that balances new initiatives with improvement of mission critical production systems.You will be expected to engage directly with the technical details of the team’s efforts, getting your hands dirty when needed, while also leading the team in a fast-paced, highly distributed environment. The right candidate will have a strong background in machine learning systems and ML team leadership.  You will have professional experience in a variety of machine learning domains, a deep understanding of the entire machine learning development lifecycle and have demonstrated experience taking ML systems from concept to production.  Teams you have led will have been high performing, included team members from multiple technical disciplines, and most importantly will have fostered an inclusive culture.  You must be able to thrive and succeed in an entrepreneurial environment, working collaboratively in a fast-paced environment with multiple stakeholders.  You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in and get the job done.   Responsibilities Lead the Machine Learning teams in the research, design, development, testing and deployment of a variety of machine learning, computer vision, and autonomous systems. Guide the teams technically, engaging in troubleshooting, architecture definition and implementation of best practices Possess a broad skill set spanning data science, machine learning, and engineering, comfortably moving between disciplines to ensure well designed, supportable and scalable solutions are delivered Work closely with cross-functional leaders in Hardware, Edge/Platform, Data and Product engineering and vendors. Develop resourcing plans and coordinate across teams to ensure development schedules are aligned and communicated, and drive engineering efforts to completion. Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork. Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early. Communicate ideas effectively, verbally and in writing, to a wide range of technical and non-technical audiences, including Metropolis leadership.   Qualifications  BS, MS or PhD in a relevant engineering discipline 10+ years of experience with at least 4+ years of experience leading and managing machine learning or related teams 2+ years of experience as a hands-on senior, staff or principal engineer before transitioning into managing teams. Experience as a technical lead or manager designing machine learning systems that have been deployed at scale. Demonstrated expertise in implementing and deploying machine learning algorithms related to computer vision, specifically in object detection/recognition, tracking algorithms, metric learning, and re-identification. Experience in deep learning frameworks such as TensorFlow/PyTorch/MxNet Experience with parallel computing, accelerator architectures including CUDA, CUDNN, TensorRT libraries Experience with large scale datasets, data pipelines, databases tools/libraries Experience deploying ML services to the cloud, including API development and design for scalability, performance reliability. Experience in modern software design, development, version control, refactoring, and testing Working knowledge of at least one modern programming language such as Python or C/C++ Knowledge of professional software engineering practices at the SDLC. Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products Demonstrated track record of developing engineers through various careers stages and building high-performance teams. Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences. Previous experience working inside innovative, high growth environments. Role is hybrid on-site in either Seattle, WA or Santa Monica, CA.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $210,000.00 to $245,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results. About the RoleWe're seeking a Software Architect to lead the technical architecture and design of our next-generation autonomous security platform. You'll architect cloud-native systems that enable continuous, automated security operations, supporting our mission to make proactive offense-informs-defense capabilities accessible to organizations of all sizes.What You'll Build As a Software Architect, you'll design and oversee the technical foundation for:AI-Driven Security Platform: Architect deterministic, production-safe automation systems that enhance security operations with intelligent, context-aware capabilitiesEnterprise Integration Layer: Design seamless integrations with identity providers, cloud platforms, security tools, and monitoring systems across the security ecosystemAutomated Response Systems: Build scalable systems that translate security insights into actionable remediation and mitigation capabilitiesReal-Time Security Orchestration: Architect event-driven systems that coordinate threat detection, response, and validation workflowsSecurity Data Architecture: Design robust systems for ingesting, processing, and acting on security telemetry from diverse sources at enterprise scaleKey ResponsibilitiesTechnical Architecture & DesignLead architectural decisions for security platform modules spanning multiple security domainsDesign cloud-native, multi-tenant architecture supporting customers from SMB through enterpriseArchitect integration frameworks that embed seamlessly into existing customer security infrastructureDefine technical standards and patterns for production-safe automation in security-critical environmentsPlatform EngineeringDesign scalable data pipelines that process security findings and orchestrate automated responsesArchitect event-driven systems that coordinate security testing and defensive capabilitiesBuild robust API and integration layers supporting extensive security tool integrationsDesign fault-tolerant systems with comprehensive audit trails and rollback capabilitiesCross-Functional CollaborationPartner with product managers to translate platform vision into technical roadmapsCollaborate with security engineers to design systems that leverage security intelligenceWork with domain specialists to architect security-specific capabilitiesGuide engineering teams on implementation of architectural decisionsTechnical LeadershipMentor engineering teams on cloud-native design patterns and security automation best practicesEstablish engineering standards for security, scalability, and reliabilityLead technical reviews and architecture decision records (ADRs)Drive technical strategy discussions with leadership teamRequired QualificationsTechnical Expertise8+ years of software engineering experience with 4+ years in senior architecture rolesExpert-level AWS knowledge: Deep experience architecting applications in AWS environmentsCloud-Native Architecture: Proven experience designing microservices, event-driven architectures, and serverless applications at scaleAPI & Integration Design: Strong background in RESTful APIs, webhooks, and complex third-party integrationsData Architecture: Experience with real-time data processing, streaming architectures, and data pipeline designEngineering LeadershipTrack record of leading technical architecture for enterprise software productsExperience scaling systems from startup to enterprise-grade requirementsStrong background in designing secure, compliant systems handling sensitive dataExperience with infrastructure-as-code and CI/CD practicesBusiness AcumenUnderstanding of cybersecurity markets and enterprise software requirementsExperience building products that integrate with existing enterprise toolchainsAbility to balance technical excellence with business requirements and delivery timelinesPreferred QualificationsSecurity Domain KnowledgePrevious experience in cybersecurity, security tooling, or compliance softwareUnderstanding of enterprise security operations and incident responseFamiliarity with security frameworks and compliance requirementsTechnical SkillsExperience with security tool APIs and integration patternsBackground in automation platforms, workflow engines, or security orchestrationKnowledge of security tools and enterprise management systemsExperience with observability and monitoring in distributed systemsIndustry ExperienceBackground at high-growth B2B SaaS companiesExperience building products for technical practitionersPrevious work on products with complex integration requirements Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work. Competitive Compensation: We offer competitive salary and benefits which includes health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave. Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.Base salary range: $207,000 - 295,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.Additional compensation: This role may also be eligible for an equity package (in the form of stock options). If any other compensation benefits apply, they will be discussed during the interview process.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. 

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. If you're ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success. How you'll make an impact Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer Use Dataiku to demonstrate the business value articulated in the usage scenarios Design and create Dataiku additional demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer; lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors Answer questions and provide technical guidance to the customer’s technical team regarding the demonstrated or evaluated solutions Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management What you'll need to be successful Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems Experience in technical pre-sales, preferably in a high-growth environment Experience in the data science, analytics, or big data markets preferred but not required Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc) Comfortability talking to all levels of customer teams from individual contributors to C-level executives Experience in Analytics/AI or other enterprise software Previously worked in a fast paced, growing company Currently located within the tristate region Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.  Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.US only national base pay ranges$158,000—$180,000 USD  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About RobinRobin is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.About the roleAt Robin AI, we bring together amazing people in engineering, AI and the law to create groundbreaking products that are transforming legal teams. Our current product blends traditional engineering, neural networks and LLMs to read and comprehend written contracts, assess whether they adhere to our customers’ preferred positions and automatically amends them. But our ambitions go way beyond reviewing contracts; we want to build technology that changes the way people and companies all over the world engage with legal services.You will help us build software that allows our customers to create contracts from a library of templates; quickly review and edit contracts sent to them by counterparties; and ask critical questions about the contracts they already have. #LI-LH1Our tech stackOur frontend is built using React and Apollo, and we use Python web frameworks, such as Django and Flask, to implement our back-end services, alongside various other services and libraries such as Celery and Elasticsearch. Everything runs on AWS services, including but not limited to ECS, Lambda and SQS. We use CircleCI to build and deploy, and all of our infrastructure is managed using Terraform.What you'll doContribute across the stack at Robin AI as part of one of our product squads. Make key design and implementation decisions, writing high-quality, well-tested code that solves challenging problems.Build Frontend UI’s on the web or Office.js platform using React, Typescript and Apollo.Develop Backend services and GraphQL API’s using Django, Flask and similar Python frameworks.Collaborate with engineers, designers, and other teams across the business to create innovative new features.Share your knowledge and experience with the frontend and backend chapters to help define technical standards and approaches for full stack development at Robin AI.Contribute to the entire development process including, system design, feature development and deployment.What about my skills?Experience making contributions across the stack from implementing complex Frontend apps to backend services and API’sExperience working with React and excellent knowledge of the building blocks of the web including: HTML, CSS and Browser API's.Experience building web services using a language such as Python, Go, or Node.js, and with associated frameworks (e.g. Django, Flask)Have an in-depth understanding of the entire development process (design, development and deployment)What’s in it for youSalary: $185,000 - $230,000Hybrid schedule: We offer a flexible working schedule. #LI-HYBRIDEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!Annual leave: 17 days PTO, in addition to the public holidays observed in the USA.Health: Medical, dental, and vision coverage.401k retirement.Growth opportunities: We prioritise promotions for high performers and help you to progress your career.What’s it like working at Robin?Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact. See what life is like at Robin.Diversity, Equity and Inclusion at RobinWe are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.Robin operates a direct hiring model and any speculative CVs shared via agencies will be treated as a gift.

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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an AAI Engineering Manager, you’ll manage a team of high-calibre Applied AI Engineers + MLEs who work with clients to train ML models to satisfy their business needs. Your team’s work will range from training next-generation AI cybersecurity firewall LLMs to training foundation agentic action models making predictions about business-saving outcomes. You will guide your  team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will:  Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.  Manage a team of 5+ Applied AI Engineers / ML Engineers Work with product and research teams to identify opportunities for ongoing and upcoming services. Explore approaches that integrate human feedback and assisted evaluation into existing product lines.  Create state of the art techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 3 years of model training, deployment and maintenance experience in a production environment At least 1-2 years of management or tech leadership experience Strong skills in NLP, LLMs and deep learning  Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models PhD or Masters in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.  Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.  Strong written and verbal communication skills to operate in a cross functional team environment Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$212,000—$254,400 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Get to Know UsAt Horizon3.ai, we’re redefining the offensive cybersecurity space—and we need a forward-thinking, technically fluent Senior Product Manager to lead our API platform, integration strategy, and MCP server development. This high-impact role is central to enabling scalable integrations, extensibility, and automation across our product ecosystem.You’ll work closely with engineering, platform architects, and customers to shape our developer-facing APIs, internal service interactions, and third-party integrations. This is a pivotal opportunity for a product leader who thrives at the intersection of developer experience, system architecture, and platform product strategy.We’re looking for someone with a builder’s mindset, a strong technical foundation, and a track record of driving cross-functional execution. If you’ve led platform/API initiatives, owned integration roadmaps, or shipped complex backend products in a high-growth SaaS environment, we want to hear from you.What You’ll DoOwn the API & Integration Platform Vision – Define and drive the strategy for our external and internal APIs, ensuring scalability, security, and ease of use for both internal teams and external developers.Drive MCP Server Product Development – Partner with engineering to evolve our Model Context Protocol (MCP) server—focusing on orchestration, performance, and extensibility.Lead Integration Strategy – Build and manage a portfolio of third-party integrations (e.g., ticketing, SIEMs, EDRs, SOARs, identity providers). Prioritize based on customer needs and strategic value.Define Developer Experience – Champion a best-in-class developer journey. Ensure our API documentation, SDKs, authentication flows, and sandbox environments are intuitive and robust.Work Cross-Functionally – Collaborate with Security Research, Engineering, and Customer Success to translate technical requirements into scalable platform features.Translate Complexity into Roadmaps – Break down complex technical concepts into actionable plans. Prioritize and sequence platform enhancements to support both customer use cases and internal product needs.Enable Internal Product Teams – Ensure APIs and internal services are reusable, well-documented, and built for scale. Partner closely with other product managers to drive alignment and platform consistency.What We’re Looking ForYou’ve worked at high-growth SaaS startups and know how to move fast without breaking things.You’ve led API platform or integration product efforts at a SaaS or cybersecurity company.You’re comfortable owning deeply technical products—APIs, servers, internal microservices—and working with architects and senior engineers.You’ve driven adoption of APIs, SDKs, or integration frameworks by both internal developers and external partners.You think in systems and platforms, not just features.You balance user needs, technical feasibility, and strategic impact in every decision.You excel at cross-functional collaboration and aligning product vision with technical execution.You’re comfortable getting into the weeds—whether it’s in spreadsheets, dashboards, or user flows—and just as comfortable zooming out to set direction.Required Background6+ years of experience in product management or technical product roles, ideally in B2B SaaS or cybersecurityDemonstrated ownership of API platforms, developer tooling, or integration ecosystemsStrong technical fluency—comfortable working with RESTful APIs, authentication standards (OAuth, SAML), and backend architecturesExperience partnering with platform, infrastructure, or backend teamsFamiliarity with Agile methodologies and product delivery in complex technical environmentsBonus PointsPrior hands-on development experience or a CS/engineering degreeExperience with agentic AI workflows and toolsExposure to event-driven architecture, service orchestration, or middleware productsBackground in cybersecurity, IT automation, or infrastructure toolingExperience with developer platform metrics, SDK adoption, and community engagementLocation & Travel RequirementsPreferred location: San Francisco Bay Area, New YorkUp to 15% travel requiredCompensation and Values:At Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.In accordance with various State’s transparency regulations, we provide the following salary range information for this position:Base salary range: $200,000 - $285,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.Additional compensation: This role may also be eligible for an equity package (in the form of stock options). If any other compensation benefits apply, they will be discussed during the interview process. Perks of Horizon3.ai:Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the flexibility to work in the way that supports you and brings out your best.Competitive Compensation: We offer competitive salary and benefits which includes health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave. You Belong Here:Horizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, hair length or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other Duties:Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Application Note:In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.In the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.Our expertise lies at the intersection of:High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.Compute Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.About the Role:We are seeking a seasoned Storage Engineering Manager with experience in the specification, evaluation, deployment, and management of HPC storage solutions across multiple datacenters to build out a world-class team. You will hire and guide a team of storage engineers in building storage infrastructure that serves our AI/ML infrastructure products, ensuring the seamless deployment and operational excellence of both the physical and logical storage infrastructure (including proprietary and open source solutions).Your role is not just to manage people, but to serve as the ultimate technical and operational authority for our high-performance, petabyte-scale storage solutions.Your leadership will be pivotal in ensuring our systems are not just high-performing, but also reliable, scalable, and manageable as we grow toward exascale.This is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. This is an opportunity to have a significant impact on the future of AI. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world.What You’ll DoTeam Leadership & Management:Grow/Hire, lead, and mentor a top-talent team of high-performing storage engineers delivering HPC, petabyte-scale storage solutions.Foster a high-velocity culture of innovation, technical excellence, and collaboration.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Drive outcomes by managing project priorities, deadlines, and deliverables using Agile methodologies.Technical Strategy & Execution:Drive the technical vision and strategy for Lambda distributed storage solutions.You will lead storage vendor selection criteria, vendor selection, and vendor relationship management (support, installation, scheduling, specification, procurement).Manage team in storage lifecycle management (installation, cabling, capacity upgrades, service, RMA, updating both hardware and software components as needed).You will guide choices around optimization of storage pools, sharding, and tiering/caching strategies.Lead team in tasks related to multi-tenant security, tenant provisioning, metering integration, storage protocol interconnection, and customer data-migration.Guide Storage SREs in development of scripting and automation tools for configuration management, monitoring, and operational tasks.Guide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.Lead the team in supporting customers.Cross-Functional Collaboration:Collaborate with the HPC Architecture team on drive selection, capacity determination, storage networking, cache placement, and rack layouts.Work closely with the storage software teams and networking teams to execute on cross-functional infrastructure initiatives and new data-center deployments including integration of storage protocols across a variety of on-prem storage solutions.Work with procurement data-center operations, and fleet engineering teams to deploy storage solutions into new and existing data centers.Work with vendors to troubleshoot customer performance, reliability, and data-integrity issues.Work closely with Networking, Compute, and Storage Software Engineering teams to deploy high-performance distributed storage solutions to serve AI/ML workloads.Partner with the fleet engineering team to ensure seamless deployment, monitoring, and maintenance of the distributed storage solutions.Innovation & Research:Stay current with the latest trends and research into AI and HPC storage technologies and vendor solutions.Guide team in investigating strategies for using Nvidia SuperNIC DPUs for storage edge-caching, offloading, and GPUDirect Storage capabilities.Work with the Lambda product team to uncover new trends in the AI inference and training product category that will inform emerging storage solutions.Encourage and support the team in exploring new technologies and approaches to improve system performance and efficiency.YouExperience:10+ years of experience in storage engineering with at least 5+ years in a management or lead role.Demonstrated experience leading a team of storage engineers and storage SREs on complex, cross-functional projects in a fast-paced startup environment.Extensive hands-on experience in designing, deploying, and maintaining distributed storage solutions in a CSP (Cloud Service Provider), NCP (Neo-Cloud provider), HPC-infrastructure integrator, or AI-infrastructure company.Experience with storage solutions serving storage volumes at a scale greater than 20PB.Strong project management skills, leading high-confidence planning, project execution, and delivery of team outcomes on schedule.Extensive experience with storage site reliability engineering.Experience with one or more of the following in an HPC or AI Infrastructure environment: Vast, DDN, Pure Storage, NetApp, Weka.Experience deploying CEPH at scale greater than 25PB.Technical Skills:Experience in serving one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre).Professional individual contributor experience as a storage engineer or storage SRE.Familiarity with modern storage technologies (e.g., NVMe, RDMA, DPUs) and their role in optimizing performance.People Management:Experience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting.Nice to HaveExperience:Experience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects).Experience with NVidia SuperNIC DPUs for edge-caching (such as implementing GPUDirect Storage).Technical Skills:Deep experience with Vast, Weka and/or NetApp in an HPC or AI Infrastructure environment.Deep experience implementing CEPH in an HPC or AI infrastructure environment at a scale greater than 100PB.People Management:Experience driving organizational improvements (processes, systems, etc.)Experience training, or managing managers.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.In the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible.The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware.Our expertise lies at the intersection of:High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs.Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware.Compute Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs.About the Role:We are seeking an experienced Software Engineering Manager with a history in the development of storage protocols and distributed storage systems to lead a team of Storage Software Engineers and Distributed Systems Engineers in the design, development, and optimization of cutting-edge distributed storage solutions. Your team will be responsible for building high-performance, scalable, and reliable implementations of object, block, and file protocols, specifically tailored to serve performance demanding AI training and inference workloads. This is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world.What You’ll DoTeam Leadership & Management:Grow/Hire, lead, and mentor a top-talent team of high-performing software engineers focused on delivering distributed storage protocols.Foster a high-velocity culture of innovation, technical excellence, and collaboration.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Drive outcomes by managing project priorities, deadlines, and deliverables using Agile methodologies.Technical Strategy & Execution:Drive the technical vision and strategy for our distributed storage protocols (e.g., S3, NFS, iSCSI) and their underlying distributed systems.Oversee the development of highly optimized storage solutions designed to meet the performance demands of AI/ML workloads (e.g., high throughput, low latency, optimization for AI workload access patterns).Lead the team in tackling complex distributed systems challenges, including concurrency, consistency, fault tolerance, and data durability across multiple data centers.Guide engineering team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.Deeply understand the performance bottlenecks of existing storage systems and guide the team in developing innovative solutions to overcome them.Lead the team in supporting customers.Cross-Functional Collaboration:Work closely with AI/ML research and products teams to understand customers storage needs and translate them into technical requirements.Work closely with the product engineering team to deliver high quality products to customers to meet their unique needs.Collaborate with product management to define the product roadmap and prioritize features.Work closely with HPC Architecture, Networking, Compute, and Storage Engineering teams to deploy high-performance distributed storage protocols to serve AI/ML workloads.Partner with fleet engineering and platforms teams to ensure seamless deployment, monitoring, and maintenance of the distributed storage protocols.Work in lock-step with the Storage Engineering team to provide reliable storage products on top of a variety of physical storage solutions.Innovation & Research:Stay current with the latest trends and research in distributed systems, storage technologies, and AI/ML hardware/software advancements.Work with the Lambda product team to uncover new trends in the AI inference and training product category.Encourage and support the team in exploring new technologies and approaches to improve system performance and efficiency.YouExperience:10+ years of experience in software development, with at least 5+ years in a management or lead role in storage software engineering.Demonstrated experience leading a team of software engineers on complex, cross-functional projects in a fast-paced startup environment.Extensive hands-on experience in designing and implementing distributed storage systems.Experience with storage protocols serving storage volumes at a scale greater than 20PB.Experience developing and tuning distributed storage protocols across scaling challenges using namespacing, sharding, and caching strategies.Familiarity with deploying and running applications on Kubernetes or other container orchestration systems (e.g., AWS ECS, Hashicorp Nomad).Strong project management skills, leading high-confidence planning, project execution, and delivery of team outcomes on schedule.Technical Skills:Knowledge in one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre).Professional individual contributor experience in languages such as C++, Go, Rust, or Python.Familiarity with modern storage technologies (e.g., NVMe, RDMA) and their role in optimizing performance.Experience with containerization technologies (e.g., Docker, Kubernetes) and their integration with storage solutions.Distributed Systems Knowledge:Solid understanding of distributed systems concepts, including consensus algorithms (e.g., Raft, Paxos), distributed caching, failure recovery, consistency models (e.g., eventual consistency), fault tolerance, data replication, load balancing, and distributed consensus algorithmsPeople Management:Experience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting.Nice to HaveExperience:Demonstrated delivery of distributed storage protocols in a CSP (Cloud Service Provider), NCP (Neo-Cloud provider), HPC-infrastructure integrator, or AI-infrastructure company.Experience with storage protocols serving storage volumes at a scale greater than 100PB.Implementation of distributed storage protocols backed by a variety of storage solutions, performance-tuned for AI/ML workloads.Experience driving cross-functional engineering management initiatives (coordinating deployments, strategic planning, coordinating large projects).Technical Skills:Deep expertise in one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre).Strong programming skills in languages such as C++, Go, Rust, or Python.In-depth knowledge of operating system internals, including file systems, caching, and I/O scheduling.AI/ML Domain Knowledge:Experience working with AI/ML training and inference frameworks (e.g., TensorFlow, PyTorch).Understanding of the unique data access patterns and performance requirements of AI workloads.Distributed Systems Knowledge:Proven ability to design and debug highly concurrent and fault-tolerant systems.People Management:Experience driving organizational improvements (processes, systems, etc.)Experience training, or managing managers.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have experience with machine learning at scaleYou’re proficient in PyTorch, and familiar with distributed training frameworks like DeepSpeed, FSDP, or Megatron-LMYou’ve worked with multimodal data (e.g., image-text, video, visual documents, audio)You’ve contributed to research papers, open-source projects, or production-grade multimodal model systemsYou understand how data quality, augmentations, and preprocessing pipelines can significantly impact model performance—and you’ve built tooling to support thatYou enjoy working in interdisciplinary teams across research, systems, and infrastructure, and can translate ideas into high-impact implementationsDesired Experience:You’ve designed and trained Vision Language ModelsYou care deeply about empirical performance, and know how to design, run, and debug large-scale training experiments on distributed GPU clustersYou’ve developed vision encoders or integrated them into language pretraining pipelines with autoregressive or generative objectivesYou have experience working with large-scale video or document datasets, understand the unique challenges they pose, and can manage massive datasets effectivelyYou’ve built tools for data deduplication, image-text alignment, or vision tokenizer developmentWhat You'll Actually Do:Investigate and prototype new model architectures that optimize inference speed, including on edge devicesLead or contribute to ablation studies and benchmark evaluations that inform architecture and data decisionsBuild and maintain evaluation suites for multimodal performance across a range of public and internal tasksCollaborate with the data and infrastructure teams to build scalable pipelines for ingesting and preprocessing large vision-language datasetsWork with the infrastructure team to optimize model training across large-scale GPU clustersContribute to publications, internal research documents, and thought leadership within the team and the broader ML communityCollaborate with the applied research and business teams on client-specific use casesWhat You'll Gain:A front-row seat in building some of the most capable Vision Language ModelsAccess to world-class infrastructure, a fast-moving research team, and deep collaboration across ML, systems, and productThe opportunity to shape multimodal foundation model research with both scientific rigor and real-world impactAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have hands-on experience optimizing and deploying local LLMs - running models like Llama, Mistral or other open-source LLMs locally through tools like vLLM, Ollama or LM StudioYou're passionate about customizing ML models to solve real customer problems - from fine-tuning foundation models to optimizing them for specific use cases, you know how to make models work for unique requirementsYou have a knack for lightweight ML deployment and can architect solutions that work efficiently in resource-constrained environments - whether that's optimizing inference on CPUs, working with limited memory budgets, or deploying to edge devicesYou have a sharp eye for data quality and know what makes data effective - able to spot ineffective patterns in sample data, help design targeted synthetic datasets, and craft prompts that unlock the full potential of foundation models for specific use casesDesired Experience:You have customized an existing product for a customerYou're versatile across deployment scenarios - whether it's containerized cloud deployments, on-premise installations with strict security requirements, or optimized edge inference, you can make models work anywhereWhat You'll Actually Do:Own the complete deployment journey - from model customization to serving infrastructure, ensuring our solutions work flawlessly in variable customer environmentsDeploy AI systems to solve use cases others can not - implementing solutions that push beyond base LFMs can deliver and redefine what's possible with our technologyWork alongside our core engineering team to leverage and enhance our powerful toolkit of Liquid infrastructureWhat You'll Gain:The ability to shape how the world's most influential organizations adopt and deploy LFMs - you'll be hands-on building solutions for customers who are reimagining entire industriesOwn the complete journey of delivering ML solutions that matter - from model customization to deployment architecture to seeing your work drive real customer impactAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team The Enterprise Agents Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our research team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the role An ideal candidate meets at least the following requirements: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerized applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Hands-on experience with LLM APIs, embeddings, or RAG patterns Track record of delivering user-facing software at scale. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USD  Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About Somite.aiSomite.ai is a venture-backed company transforming stem cell biology with AI. We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million. Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies. Our platform, DeltaStem, accelerates therapy creation and continually improves through data-driven insights.Founded by Dr. Micha Breakstone, a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.Location: BostonClick the following links to learn more about Somite:https://x.com/SomiteAi/status/1922284999891472808https://www.forbes.com/sites/gilpress/2025/05/13/somite-ai-raises-47m-series-a-to-reinvent-cell-replacement-therapy/Click the following link to Apply:https://jobs.ashbyhq.com/somite-ai?utm_source=LinkedIn+Manual+PostingAbout the Role:Somite seeks a highly motivated individual to join our Technical Development team. Reporting to the Sr. Director, CMC, his person will play a key role in the development and routine execution of analytical methods including flow cytometry, immunofluorescence, morphometry, qPCR, and cell-based potency assays. The selected candidate will be responsible for conducting experiments, analyzing data, and documentation within an electronic laboratory notebook. This is a hands-on role requiring expertise in mammalian cell culture and analytical methods relevant to cell therapy. This role requires the ability to be onsite in the lab Monday through Friday and may include occasional weekend work.Responsibilities:● Execute experimental studies to optimize specificity, sensitivity, precision, accuracy, and/or linearity of analytical methods.● Analyze and interpret experimental data, contributing to the development of robust and reliable assays.● Troubleshoot assay development and instrument operation issues as they arise.● Document assay development activities in detailed protocols and reports in an electronic lab notebook (Benchling).● Compose method procedures and train team members on new assays.● Run assays on samples generated during platform development studies.● Present experimental results and updates to internal teams.● Assist with general laboratory tasks as needed to ensure efficient operations.● Able to work occasional weekends.● Exhibit Somite’s Core Values.Qualifications:● B.S. in Biology or a related scientific discipline with at least 5 years of experience in drug development laboratory setting(s).● Familiarity with mammalian cell culture techniques, including experience with various cell types (e.g., iPSCs and differentiated phenotypes thereof).● Experience building analytical methods such as flow cytometry, immunofluorescence, qPCR, and cell-based potency assays.● Experience with electronic laboratory notebook (experience with Benchling is ideal).● Must be an adaptable team player prepared to work in, and embrace, a team-based culture.Preferred Qualifications:● Experience with assay development principles and considerations for method qualification.● Experience working in an early-stage company or a startup environment.Somite.ai’s Core Values:· We show up – fully accountable, all-in, doing whatever it takes· We act with urgency – swift, decisive, proactive· We support one another – collaborative, helpful, empatheticClick the following link to Apply:https://jobs.ashbyhq.com/somite-ai?utm_source=LinkedIn+Manual+PostingBenefits:● Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions.● Work alongside a talented and passionate team at the forefront of AI and cellular biology.● Contribute to the development of groundbreaking therapies that address significant unmet medical needs.● Enjoy a competitive salary / benefits package and a collaborative work environment.Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.Join us and help unlock the full potential of AI for the benefit of human health!

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.   What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on client side, experience in implementing complex UI interactions is ideal. FE only experience is OK if you are happy to occasionally help out with BE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus.    Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.   Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.   The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership  The process does not need to take long - we can be done in seven working days.   Other important info: This is a remote role from an EU country, UK or Switzerland.  The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

true

Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.   What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on client side, experience in implementing complex UI interactions is ideal. FE only experience is OK if you are happy to occasionally help out with BE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus.    Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.   The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership  The process does not need to take long - we can be done in seven working days.   Other important info: This is a remote role from an EU country, UK or Switzerland.  The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.