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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re hiring a Senior AI Researcher to lead foundational research at the intersection of multimodal modeling and conversational AI. You'll build multimodal models that model interactions between the user and the human like avatar to predict/control the audio/visual/language responses of the avatar. This isn’t a role for someone who just wants to follow the roadmap. You’ll help create it by steering our technical direction and shaping what the next generation of AI Human avatars looks like.Your Mission 🚀Lead research on Foundational Multimodal Models for Conversational Avatars — systems that can perceive, reason, and generate across video, audio, and language.Build and train models using Autoregressive, Predictive (e.g., V-JEPA), and Diffusion-based architectures with a deep focus on temporal and sequential data (not static frames).Design and execute experiments to predict and control the visual, auditory, and linguistic responses of avatars.Partner with the Applied ML team to bring research into real-world use cases.Mentor other researchers and drive excellence across the team.You’ll Bring:A PhD plus 2–3+ years working hands-on with LLMs, VLMs, or multimodal systems.Previous experience leading research efforts or mentoring teams.Expertise in sequence modeling across video, audio, and text — with strong understanding of autoregressive, predictive, and diffusion frameworks.Experience with large-scale model training and optimization for performance and real-time generation.Proven ability to translate research ideas into production-grade systems.Publications in top-tier venues (CVPR, ICCV, NeurIPS, ECCV, ACMMM).Strong PyTorch skills and comfort moving fluidly between research and engineering.Nice-to-HavesBroad familiarity with generative AI paradigms and foundation models.Comfort working across the full research–to–deployment stack.A builder’s mindset: eager to experiment, iterate, and ship.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe available for exceptional candidates.Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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About the teamAdaptive ML is helping companies build singular generative AI experiences by democratizing the use of reinforcement learning. We are building the foundational technologies, tools, and products that allow models to learn directly from user interactions and self-improve based on simple guidelines. Our founders come from diverse backgrounds and previously worked together in creating state-of-the-art open-access large language models. We closed a $20M seed with Index & ICONIQ in early 2024 and are live with our first enterprise customers.Our Product Team is responsible for transforming the technology we build into exceptional products that directly address pain points companies encounter in their generative AI deployments. We are committed to delivering a high-quality, intuitive, and robust experience for our customers.About the roleAs a Backend Engineer on our Product Team, you will help transform our technology into exceptional products. Our products allow companies to build more singular generative AI experiences with deeper personalization through reinforcement learning. We prioritize product quality, with a bias for clarity, responsiveness, and robustness, achieved through attention to detail across frontend and backend systems.You will work on the backend powering our product, collaborating closely with frontend and Technical Staff to implement new features. Challenges may include interfacing with complex GPU workloads (e.g., distributed inference/training) in a robust way and building scalable abstractions. We are looking for self-driven, ambitious individuals interested in contributing to a highly technical product that prioritizes robustness, accessibility, and responsiveness. As this is an early role, you will have the opportunity to shape our product team as we grow.This is a preferably in-person role based at our Paris or New York office.Your responsibilitiesDesign, iterate, and implement the backend of our products;Develop high-quality Rust software, with elevated standards of performance and robustness;Construct systematic processes for product development, helping remove unknowns in our strategy;Contribute to our product roadmap aligning the needs of our Commercial Team with the latest advancements from our Technical Team;Report clearly on your work to a distributed collaborative team, with a bias for asynchronous written communication.Your (ideal) backgroundThe background below is only suggestive of a few pointers we believe could be relevant. We welcome applications from candidates with diverse backgrounds; do not hesitate to get in touch if you think you could be a great fit, even if the below doesn't fully describe you.Significant experience (at least 6-10 years) in software development;Strong software engineering skills, with a focus on robustness and performance;Strong knowledge and experience of PostgreSQL.Minimal knowledge of PythonA track record of shipping ambitious technical products under tight deadlines;A deep concern for user experience;Passionate about the future of generative AI, and eager to build foundational technology to help machines deliver more singular experiences.BenefitsComprehensive medical (health, dental, and vision) insurance;401(k) plan with 4% matching (or equivalent);Unlimited PTO — we strongly encourage at least 5 weeks each year;Mental health, wellness, and personal development stipends;Visa sponsorship if you wish to relocate to New York or Paris.

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About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who built Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startup.Solving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patients.Cutting-edge tech frontier: You'll be marketing the future of healthcare AI—translating breakthrough voice technology into stories that resonate with healthcare leaders and patients alike.In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive culture.What You'll Be Working OnBuild the marketing engine from zero: Establish foundational systems for demand generation, content production, and campaign management that scale with our growthCreate customer stories that close deals: Develop case studies, ROI calculators, and reference programs that prove Clarion's value to skeptical healthcare buyersOwn our digital presence: Write weekly LinkedIn posts, publish blog content, optimize SEO, and build our online authority in healthcare AILead conference strategy: Identify key events, manage booth presence, coordinate speaking opportunities, and turn conference leads into pipelineLaunch products that drive adoption: Write launch messaging, create sales materials, drive adoption campaigns, and ensure customers actually use new features after releaseEnable sales with competitive intelligence: Arm our team with battlecards, objection handling, and market insights that help them win against incumbents and startups alikeRequirements3-5 years of B2B marketing experience: Track record of generating pipeline and influencing revenue, ideally in healthcare tech or SaaSProven impact: Can point to specific campaigns that drove real pipeline and closed dealsSelf-sufficient: Comfortable as a one-person marketing team who strategizes Monday, ships by Wednesday, and measures by FridayHealthcare fluent: Understands how health systems buy technology and can translate AI into clear value for both clinical and business buyersMetrics focused: Tests constantly, measures everything, and makes decisions based on what worksIn-person collaboration: Excited to work from our NYC office dailyYou're a Good Fit IfYou're a creative generalist who can strategize, write, design, and ship—wearing multiple hats without losing qualityYou obsess over pipeline metrics, not vanity metrics—every campaign ties back to demos booked and deals influencedYou can make complex AI feel simple and essential to overwhelmed healthcare teams who've been burned by tech beforeYou thrive as a team of one, building the marketing engine from scratch while collaborating closely with sales and productYou have taste—you know what good looks like and won't ship anything that doesn't meet that barYou're ready to test bold ideas, from LinkedIn thought leadership to unexpected guerrilla campaigns that break through the healthcare tech noiseWhat We OfferDirect mentorship: Work closely with our founding team and experienced leaders who will invest in your professional developmentMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your work directly affects healthcare access for millions—every provider you bring onboard helps hundreds of patients get the care they needInterview ProcessAt each stage, we decide within 24 hours and update you shortly after:First Chat (20 min) [Virtual]: Discussion about your product marketing experience and interest in healthcare transformationMarketing Deep Dive (45 min) [Virtual]: We'll explore your approach to positioning, messaging, and how you've driven revenue through marketingMarketing Exercise (Take-home): Create a positioning document and sales one-pager for a specific healthcare segment, demonstrating your ability to craft compelling narrativesTeam Day (Half-day) [In-Person]: Visit our New York office to present your marketing strategy, collaborate on real challenges, and meet with founders and potential cross-functional partnersIf you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.

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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 Role The xAI datacenter control systems team is looking for a highly-motivated Controls Engineer to support the operation, design, and optimization of our advanced data center infrastructure. This person will play a key role in maintaining the stability and efficiency of the systems that power xAI's groundbreaking AI research. The Controls Engineer will collaborate with cross-functional teams to monitor and improve the performance of the data center throughout its lifecycle. This individual will work closely with Operations and Maintenance to ensure the systems are running smoothly, from day-to-day management to long-term upgrades and expansions. Responsibilities Executing the implementation and modification of Building Management System (BMS), Electrical Power Management System (EPMS), and any other SCADA systems critical for the operation of current and future data centers Overseeing the operation of critical systems such as chillers, pumps, and power distribution, using PLCs and other industrial control technologies Preparing specifications for Human-machine Interface (HMI) including graphics standard for interpretation by Grok Implementing and maintaining automated controls for fire safety and emergency shutdown procedures (ESOP) Developing a corporate-level reporting dashboard to monitor the operational trends such as power usage effectiveness (PUE) and performance/cost, and dynamically adjust the infrastructure set points for optimal performance Coordinating with utility providers to automate demand and operational responses to upstream grid events Required Qualifications Bachelor's Degree in an Engineering discipline: Controls and Computer Control Systems, Computer Science, Mechatronic Engineering, Automation Engineering, etc., or equivalent experience 5+ years of experience as a hands-on Controls Engineer working with industrial control systems Ignition SCADA Programming Experience Siemens TIA Portal PLC Programming Experience Physical Requirements: Ability to work for extended periods of time standing, when needed Work is often performed in tight quarters and physical dexterity is necessary to perform job functions Comfortable working in an environment requiring exposure to noise Ability to lift or carry 10-15lbs Ability to work evenings and weekends as needed Position is subject to pre-employment drug and random drug and alcohol testing Preferred Qualifications Advanced proficiency in programming industrial equipment in all IEC 61131-3 languages with a focus on structured text and ladder logic Experience with industrial control hardware from leading manufacturers (e.g. Siemens, SEL, Rockwell) Familiarity with Human Machine Interface (HMI / GUI) development using platforms such as Ignition, SEL, etc Methodical troubleshooting approach Strong documentation and communication skill set Technical project management mindset Team-player, takes initiative, and highly motivated xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next-generation AI inference platform. You will be responsible for guiding the team through the design and implementation of high-performance, fault-tolerant infrastructure to serve large language models (LLMs) at scale.This role combines technical depth with people leadership — you'll help shape the engineering roadmap, drive execution across key projects, and mentor a team of high-caliber engineers. As part of a fast-growing, strategically important organization, you’ll partner closely with product, business, and platform stakeholders to deliver a performant and reliable platform powering AI for customers worldwide.This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presenceWhat You’ll Be Working On:Team Leadership & Strategy:Lead the design and implementation of core AI services, including:Manage and grow a team of software engineers working on Crusoe’s Managed AI platformSet clear goals, drive accountability, and support career development for team membersPartner with product and engineering leadership to define and execute on the AI roadmapFoster a high-performance, collaborative engineering culture grounded in technical excellenceTechnical Execution:Oversee the architecture and development of core AI services, including:Fault-tolerant task queuesModel management systemsCost-aware scheduling frameworksHigh-performance APIs for real-time inferenceEnsure the team delivers scalable systems capable of handling millions of API requests per secondGuide the team in implementing performance optimizations for GPU-based inference workloadsCollaboration and Influence:Work cross-functionally with product managers, infrastructure teams, and GTM stakeholdersRepresent engineering in strategic discussions related to AI platform growth and customer adoptionPromote knowledge sharing, technical mentorship, and operational best practices within the teamContribute to the evolution of Crusoe’s engineering processes and broader AI strategyWhat You’ll Bring to the Team:Leadership Experience:2+ years of experience managing high-performing engineering teamsStrong track record of hiring, developing, and retaining engineering talentAbility to lead teams through ambiguity and drive alignment around complex technical goalsTechnical Depth:Prior hands-on experience building distributed systems or AI infrastructureDeep understanding of cloud-native environments, container orchestration, and service-oriented architecturesFamiliarity with GPU performance, inference frameworks, or LLM-based systems is a strong plusProduct & Delivery Focus:Comfortable owning deliverables from early design through production rolloutStrong collaboration skills, with a bias for clarity, context sharing, and customer impactExperience operating in fast-paced startup or growth-stage environmentsPreferred Qualifications:Background in Computer Science, Engineering, or a related technical fieldProficiency in Python or GolangFamiliarity with open-source AI ecosystems (e.g., VLLM, Hugging Face, Triton)Experience working with Kubernetes, gRPC, and observability stacksPersonal Attributes:Growth-minded leader who empowers and supports othersExcellent communicator and relationship builderPassionate about building world-class AI infrastructure and teamsBenefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $233,000 - $282,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our upcoming Seattle office location or on-site with strategic customers 4 days per week; Lambda’s designated work from home day is currently Tuesday. About The RoleWe're looking for a Forward Deployed Engineer to embed directly with a strategic customer, serving as the technical bridge between Lambda and their team. You'll work where model performance matters most, delivery timelines are urgent, and ambiguity is the default state. Your job is to map problems, structure delivery paths, and ship solutions that create measurable impact.What You’ll DoCustomer EngagementEmbed on-site with a named strategic customer, becoming an extension of their teamAct as the primary technical liaison between Lambda and the customer organizationNavigate ambiguous requirements to identify root problems and define clear technical solutionsDrive alignment across internal Lambda teams and customer stakeholdersTechnical DeliveryScope, sequence, and build full-stack solutions that deliver measurable business valueDesign and implement infrastructure optimizations for AI/ML workloads at scaleDebug complex distributed systems issues across the infrastructure stackShip iteratively and learn fast, adjusting approach based on customer feedback and resultsStrategic ImpactIdentify reusable patterns from customer engagements that can scale across Lambda's customer baseSurface field intelligence that influences Lambda's product roadmapDocument and share learnings to elevate the capabilities of the broader teamRepresent Lambda with executive presence in high-stakes customer interactionsAbout YouMust-Have6+ years of experience in a SRE, software engineer, or similar role, with a deep knowledge of running Linux clusters and systemsStrong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operatorsProven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)Hands-on experience with AI/ML workload management tools (Volcano, Kubeflow, or similar)Can work either independently with limited direction or as part of a teamFamiliarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelinesProven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similarExcellent communication skills with the ability to translate technical complexity for diverse audiencesExecutive presence and ability to represent Lambda in customer-facing situationsComfort operating in ambiguous environments with competing prioritiesStrong bias for action and shipping iterativelyNice-to-HaveDeep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experienceExposure to HPC clusters, AI/ML workloads, or large-scale GPU clustersHybrid or multi-cloud Kubernetes environment experienceContributions to CNCF projects or Kubernetes SIGsWhy Join UsWork on cutting-edge Managed Kubernetes platforms for AI/ML workloadsInfluence the platform roadmap and help shape operations and reliability best practicesCollaborate with a highly skilled engineerOpportunity to mentor and grow within a fast-growing, technology-driven environmentSalary 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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EPD Business Operations Lead, IPS Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Building custom AI applications that will impact millions of citizens and government employees Generating high-quality training data for custom LLMs Upskilling and AI advisory services to spread the impact of AI As EPD Business Operations Lead in Doha, you will be the operational cornerstone for a key strategic region, designing, building, and running the critical systems that enable the team's hyper-growth and delivery success. You will help translate vision into execution, streamline how our technical team builds and ships products, and ensure clarity, alignment and operational excellence across a growing global team. This is a role for someone who thrives at the intersection of product, people, and process - someone who can take ownership like a founder, operate like a systems designer, and execute like a product manager. What you'll do Be the connective tissue across the Engineering, Product and Design teams - driving alignment, clarity, and prioritization across all initiatives and projects Own knowledge management and internal tooling, ensuring the team operates efficiently at scale. Deep expertise in Notion is critical - you’ll design, manage, and evolve the team’s central knowledge base, project trackers, decision logs etc Build and maintain systems for project tracking, staffing and performance reporting Partner with Finance and Legal to streamline procurement, budgeting, and contract processes to positively impact delivery timelines. You’ll also support the team on revenue recognition tracking and spend monitoring for projects.  Design and operationalize new processes that make product development and data delivery faster, higher quality and more predictable Serve as a force multiplier for technical leadership - helping anticipate needs, prepare materials and communicate priorities internally and externally Lead internal enablement and upskilling initiatives, ensuring the team continuously improves its product development muscle. Ideally, you'd have 5+ years of experience in product, strategy or business operations roles, preferably within a high-growth technology company or top-tier consulting/finance firm. Proven ability to design and scale systems that help technical teams operate with clarity and velocity. Exceptional analytical skills with a penchant for digging deep into the data, thinking from first principles, and iterating quickly to deliver results. Strong familiarity with Notion, plus adjacent productivity tools (e.g., Asana, Airtable, Coda, Slack integrations). Experience working in or with the Middle East, with an understanding of the regional business and regulatory environment, is a plus. Fluency in English is required; proficiency in Arabic is a strong advantage. 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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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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Why Ivo?Contract negotiation is the most time-consuming, costly, and difficult component of the contract lifecycle—and it hasn’t gotten much easier since the days of fax machines. Large language models have unlocked the ability to solve many contract negotiation problems at scale. Our product is best-in-market (with an ~80% trial win rate) and rapidly embedding itself into the lives of its users. Overview:We are looking for an exceptional Design Engineer to join our team in San Francisco. You will be the first Design Engineer at Ivo and have a unique opportunity to play a crucial role in shaping Ivo’s product, user experience, and overall design strategy. You’ll work closely with the leadership and engineering to create intuitive, user-centric designs that meet the needs of our customers. Ideally, you should be comfortable with both product design and front end engineering.  What You’ll DoHave significant input into the entire design and creative processDeeply understand the product to create industry leading user experiences  Build out our front end. Champion a reusable component systemCollaborate with our founders to define product strategy and roadmap priorities through a design lensEnsure we keep our quality bar high whilst shipping fast Your Qualifications:You have 3+ years of experience in product design/front end developmentYou have proficiency in Figma and React/Next.js or other modern toolingYou have a customer-first mindset with a passion for solving real-world problemsYou move fast and have experience in high-velocity teams. Ivo might be a good fit if you:Love creating the perfect product experience, but you love having impact more: Our #1 goal is building the best possible product, which means making pragmatic choices and looking for 80/20 solutions.You would describe yourself as being relentlessly resourcefulHave a strong internal sense of urgency. You have a bias towards doing things *today*, rather than tomorrow. Have experience working in a startup environment - this is preferred but not required.Are excited by AI and the adventure of building a company!

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.  Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.   This Role  As a Senior MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. You'll: Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments. Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence. Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars. Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others. Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure. Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site. Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX. As a senior member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!      What we offer Equity options – share in our success and growth. 5% 401(k) match – invest in your future. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our Manhattan office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage for you and your family. Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   Salary range: $120,000 - 240,000 depending on experience  Seniority will be assessed throughout our interview process   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:The Crusoe Cloud Managed AI team seeks an ambitious and experienced Senior Software Engineer to join their team. You'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth.This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presenceWhat You’ll Be Working On:Design and develop core infrastructure for the Managed AI platform:Lead the design and implementation of resilient fault-tolerant queues, model catalogs, and scheduling mechanisms.Build and optimize systems for high-volume AI inference, handling millions of API requests per second.Develop and maintain core services for AI model deployment and management.Collaborate with cross-functional teams:Work closely with product managers, data scientists, and other engineers to define and deliver AI services.Integrate with other Crusoe Cloud services to provide a seamless user experience.Collaborate with research and development teams to explore and implement new AI technologies.Ensure high availability and performance:Design and implement systems with high availability, low latency, and fault tolerance.Optimize performance across all stages of the AI inference pipeline, including model loading, execution, and response handling.Continuously monitor and improve the performance and reliability of AI services.What You’ll Bring to the Team:Strong Engineering Foundations:Advanced degree in Computer Science, Engineering, or a related field.Proven experience in distributed systems design and implementation.Expertise in using cloud-based services, such as elastic compute, object storage, virtual private networks, managed databases, etc.Experience with container runtimes (e.g., Kubernetes) and microservices architectures.Experience using REST APIs and common communication protocols, such as gRPC.Demonstrated experience in the software development cycle and familiarity with CI/CD tools.AI/ML Expertise:Experience in Generative AI (Large Language Models, Multimodal).Technical Skills:Proficiency in Golang or Python for large-scale, production-level services. (Preferred)Familiarity with AI infrastructure, including training, inference, and ETL pipelines. (Preferred)Contributions to open-source AI projects such as VLLM or similar frameworks. (Preferred)Performance optimizations on GPU systems and inference frameworks. (Preferred)Soft Skills:Proven track record of delivering early-stage projects under tight deadlines.Strong communication and collaboration skills.Proactive and results-oriented with the ability to work independently and as part of a team.Passion for building high-quality, scalable, and impactful products.Bonus Points:Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.Knowledge of machine learning algorithms and data structures.Experience with data streaming and real-time processing technologies.Contributions to open-source projects outside of AI.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $166,000 - $201,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Location: San Francisco (100% In-Office) Experience: 5+ years Salary: $200K - $500k • Offers EquityAbout UsAt Giga, we’re shaping the future of conversational AI, fully automating customer support to elite levels for enterprises with a lean team of engineers. Our customers trust our agents to navigate complex, real-world conversations with clarity, accuracy and scalability. We've deployed AI agents that resolve over 1 million support tickets monthly for one of our early customers alone. Now working with the most recognizable names in food delivery and crypto, we are gaining significant traction as a frontrunner in this space against our biggest competitors. With multi-year contracts secured across several industries and a large Series A round that recently closed with investors such as Y-Combinator and Nexus VP, we’re on track to power the next trillion voice interactions. Why Join Us?Momentum: Be a part of a team that has seen validation from both customers and investors alikeOwnership: Be a key contributor to cutting-edge ML projects transforming industries and influence the company’s technical directionGrowth: Develop yourself alongside top-tier engineers and Founders About the RoleWe’re seeking a seasoned Staff Backend Engineer with hands-on experience in building processes & infrastructure. You should take pride in your work and write high-quality, scalable code. If you thrive in a fast-paced, high-ownership environment, we want to hear from you. What You’ll Do:Ship and Own Products: Rapidly contribute to our products, eventually owning your own product or product lines.Design Scalable Solutions: Crafting systems that remain fast, reliable, and secure as we grow while owning key backend & infrastructure projects.Translate Vision into Launches: Partner with founders and cross-functional teams to turn big ideas into clear plans, drive sprints, and land high-impact releases.Technical Leadership: Drive technical decisions and architecture design, shaping the foundation of our solutions.Who You Are / Must-Haves:Exceptional EngineerBackend: Strong experience in Python (Django experience is a plus)Cloud: Proficient with AWS or Google CloudScalability: Familiarity with Kubernetes and Docker is a plusEntrepreneurial: Preference for candidates with experience at successful startups — former founders are especially valuedSeasoned: 8+ years of hands-on engineering experience with roles in leadershipGritty: Capable of working long productive hoursStrong Background: Degree from a top-tier engineering program Perks & BenefitsExtremely competitive total compensationEquinox MembershipWellness allowanceFull health, dental, and vision coverageOn-demand snacks, meals, and coffee to keep you fueled Interview ProcessScreening call w/ recruiting lead (20 min)Intro call w/ Founding Engineer (15 min)Live coding round w/ Founding Engineer (1 hr)In-office interview (full day)

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About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised more than $30M from top investors (Andreesen Horowitz, YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional AI Engineer to join our agent team and help shape both our product.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Team includes ex-Apple AI Research, 4 YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoSet up end-to-end evals to measure & improve agent performance.Experiment with new agentic techniques (e.g. multi-agent systems, reasoning-from-feedback, RFT, etc)Build lightweight tools, servers, and orchestration layers (e.g. MCP servers) that enable agents to operate reliably in productionStay on top of emerging research and blogs on LLM/AI agents and bring ideas into production experiments. What We’re Looking ForAmazing ability to speak with LLMs - Occam's razor in prompting Strong experience with Python 3+ years building in ML/AI.Clear communicator - both in person and in writing.Bonus: background in B2B SaaS and 0 - 1 experienceAbove all: drive, grit, and ownership. If you excel here, other requirements are secondaryNote that this is not a model-training role - you’ll be building orchestration and reasoning systems on top of existing LLMs (think Claude-Code over Claude-Model).At FurtherAI, we set a high bar. We’re not looking for someone who just wants a job. We’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.

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Are you excited about the limitless possibilities of artificial intelligence and machine learning? Do you want to make these possibilities into realities for real people? If so, we have an extraordinary opportunity to join our startup as an AI Support Engineer.Cognition and Windsurf give AI-powered tools to development teams at thousands of enterprises, from startups to Fortune 500 companies. Due to the complexity of enterprise tasks and environments, combined with the rapid evolution of the product itself, customer issues may come up that would reduce adoption and value driven if not addressed rapidly. You will be the first line of responding and resolving these customer issues, leveraging your computer science and AI knowledge to help customers effectively. Your role will be instrumental in driving adoption of AI technology.This is a unique opportunity to work at an AI startup with real users.Key Responsibilities:First line of response to any customer issues: Customer issues could stem from misuse of the software, errors in the deployment, or bugs in the underlying software. Support engineers are required to use their AI and CS knowledge to root cause, reproduce, and respond to any type of issue. Support engineers will help define processes and build automations to streamline our support function.Escalation, resolution, and education: If a support engineer is unable to resolve a customer issue, they are responsible for escalating the issue to the appropriate Cognition/Windsurf stakeholders (deployed engineering, field IT, or enterprise engineering), tracking and understanding the resolution of the issue, and educating the customer on the solution.Knowledge documentation and distribution: Support engineers are responsible for documenting learnings about failure modalities across use and deployment and distributing that knowledge to end customers and internal engineering teams.Product testing and feedback: Cognition and Windsurf’s products work across a range of IDEs, programming languages, and modalities. Support engineers will be instrumental in testing each release. Support engineers will also use their CS and AI skills to automate parts of the QA process.Qualifications:2+ years working in a technical roleBachelor's or higher degree in Computer Science, Software Engineering, or related field.Knowledge of distributed computing, containerization, and orchestration technologies (e.g., Docker, Kubernetes).Proficiency in programming languages such as Python, Java, or GoStrong organizational skills and customer friendliness.Strong problem-solving skills and the ability to work in a fast-paced, dynamic startup environment.Passion for artificial intelligence and large language models. Hands-on experience with these technologies is not required, but is a plus.

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The magic of small teams can exist at any organization.We started Span to address a pattern we'd all lived: as teams expand, context is buried under layers of meetings, tools, people and process. Things begin to stall in the "outer loops" like prioritization, allocation, collaboration, and management—areas where mistakes and inefficiencies are arguably more costly.We are creating a new type of tool that delivers coherent and useful software engineering context for humans and agents alike, a tool that we believe will enable ownership, autonomy, and superhuman impact inside of an engineering organization.We’re building a future where:Engineering leaders can understand their most precious resource - team time - so that they’re able to invest intentionally, root out hidden costs of toil, and unlock the true potential of their team.Everyone inside the organization can have an intuitive grasp of what’s happening so they’re empowered to make better decisions, operate confidently and deliver predictably.The hours tied up in tagging, status reporting and coordination meetings are automated away so that people spend less time on busywork and more time on the real work.In this role you’ll:We’re looking for someone who can help with these types of example projects:A product that root causes KTLO work and recommends solutions.A software catalog that works for monoliths and that people actually want to use.Help protect engineering focus time by systemically solving sources of distraction or mental load with AI.What we're looking for:Resourceful individuals who thrive in a high agency environment.Have been a founder, seed-stage engineering hire, or have launched your own project before.You have strong product sense and can prove it.Have experience working with LLMs and agentic workflows.About our Stack:TypeScript, NestJS, React, Postgres, RedisAirbyte, Dagster, Python, KafkaAWS, K8S, FluxCDBacked by dozens of founders and CTOs we admire from places like Slack, Notion, Rippling, Fivetran and Coda, CPOs from places like Adobe and Square, as well as funds like Alt, BoxGroup, Bling, Craft, and SV Angel who dare to dream with us.

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At Continua, we've built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. It's early days for this specific Continua product, but we think we're on to something.Try adding Continua to your group texts to kick its tires! We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level.This a hybrid position that can be based in Seattle, WA or New York, NY.What you'll do:You'll work on building and improving the best LLM group chat experience there is. This includes:Fine-tuning models to boost conversational quality and improve scalability.Owning new ideas for engaging features and working across the stack (i.e. not just in Jupyter notebooks) to take them from concept to production.Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users.Leading technical decision making to find solutions which are both innovative and practical. Who you are:You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP). You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. You:Know the pitfalls and tricks for building with LLMs, especially RAG systemsHave experience with the level of obsession over detail needed to produce high quality ML systems.Are experienced and comfortable building backend systems and working across a code base, not just in Jupyter notebooks.Are experienced writing Python (knowing Go is a plus)You know how to work independently to handle ambiguityWe're willing to compromise on years of experience for the right candidate who brings energy, intelligence, and a passion for our mission.A little about us:Our team is a fantastic bunch of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people.Compensation & Benefits:We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history!To apply:To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.”We welcome referrals! If you know someone exceptional for this role, please email us at jobs@continua.ai.

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re looking for an AI Researcher to join our core AI team and help push the frontier of multimodal conversational intelligence. If you thrive in fast-paced environments, love turning abstract ideas into running code, and get energy from exploring the edge of what’s possible then this is the perfect role for you.Your Mission 🚀Conduct research on Foundational Multimodal Models in the context of Conversational Avatars (e.g., Neural Avatars, Talking-Heads).Model video, audio, and language sequences using Autoregressive, Predictive Architectures (e.g., V-JEPA), and/or Diffusion paradigms with an emphasis on temporal and sequential data rather than static images.Collaborate with the Applied ML team to bring your work to life in production systems.Stay at the cutting edge of multimodal learning and help us define what “cutting edge” means next.You’ll Be Great At This If You Have:A PhD (or near completion) in a relevant field, or equivalent hands-on research experience.Experience modeling human behavior and generation (facial expressions, affect, or speech). Ideally in conversational or interactive settings.Deep understanding of sequence modeling in video/audio/language domains.Familiarity with large model training, especially LLMs or VLMs.Strong background in Deep Learning (from Transformers to Diffusion Models) and how to make them work in practice.Excellent programming skills, especially in PyTorch.Nice-to-HavesPublications in top-tier conferences like CVPR, ICCV, NeurIPS, ECCV, or ACMMM.Broader understanding of generative AI and multimodal architectures.Familiarity with software engineering best practices.Curiosity and a flexible mindset — you like building and experimenting.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe available for exceptional candidates.Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.To learn more about our team culture and benefits, check out our hiring page.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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About SolaSola is building the agentic automation platform powering the enterprises of tomorrow. Founded in 2023 by Jessica Wu and Neil Deshmukh (MIT alums, ex-IBM Watson, Citadel Securities, MGH/BWH), we’ve raised $21M in total funding from a16z and Conviction, with additional backing from Y Combinator (S23) and the founders of Dropbox, Zoom, Zapier, Scale, and more.In just one year, Sola has been adopted by Fortune 500s, top U.S. law firms, and leading private enterprises across finance, healthcare, legal, and supply chain.Our team in NYC includes industry leaders who have built and scaled world-class businesses, contributed to top quant funds, crypto projects, and research labs—and been founders themselves.What We’re BuildingWe’ve reimagined enterprise process automation to safely and effortlessly apply foundation AI models across web and desktop interfaces at scale. Our work spans:AI-enabled error correction algorithmsAgentic workflow orchestrationMarkov decision models with AI inputsAI desktop infrastructureOur workflow automation product is just the beginning—the hardest challenges are still ahead.If you’re excited to bring Figma-level UI/UX excellence to automation and build trusted tools for mission-critical processes, we’d love to meet you.As a Senior Backend Engineer, you will:Own systems that automate repetitive work across hundreds of browser and desktop platforms, handling concurrency, reliability, and observability at scaleCollaborate with our CTO and ML research partners to bring state-of-the-art agentic workflows into productionArchitect and scale backend infrastructure to power our visual workflow builder – a Figma-style interface used daily by non-technical ops teamsDesign and implement services that integrate with cutting-edge AI models to generate workflows, parse documents, and drive adaptive execution logicDeploy and manage services in Kubernetes, ensuring scalability, resilience, and performance in production environmentsWhat We’re Looking ForFluency in Typescript and Python (both required)Hands-on experience with Kubernetes (designing, deploying, and scaling production services)4+ years of experience building scalable distributed systems at enterprise scale (the more battle scars, the better)Prior experience at an early-stage startupProven ability to collaborate with engineers and PMs to break down high-level goals into shippable milestonesMust be available in NYC (we’ll cover relocation)Nice to have: prior experience with distributed workflow orchestration such as Cadence or Temporal.ioBenefits🌇 Where: In-person in NYC (we believe the best work happens together) 💸 Compensation: Competitive salary + meaningful equity 🩺 Healthcare: Comprehensive medical, dental, and vision (Big Tech level) 📈 401k: Easy enrollment with smart savings options 🍽️ Meals: Daily lunches, dinners, and snacks 🏝️ Time Off: Up to 4 weeks flexible PTO👉 Join us if you want to shape the future of automation, push the boundaries of AI-driven systems, and work shoulder-to-shoulder with a world-class NYC team.

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.Job Description: Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a real-time, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. Anduril seeking a skilled Navigation Engineer with experience applying navigation and estimation techniques to autonomous vehicles. Expertise in low-cost sensor considerations and robotics-focused pose localization techniques is a significant advantage. This role emphasizes the implementation of Inertial Navigation Systems (INS) while leveraging sensor fusion algorithms and pose estimation methods for precise navigation of aerospace vehicles. WHAT YOU’LL DO Analyze and help develop mission requirements and constraints across the Anduril product portfolio to determine optimal navigation system architecture Support and drive the evaluation and integration of advanced alternative navigation aiding sources (prepare, support, and conduct lab, motion, and flight tests) Support flight testing to measure & validate navigation performance relative to mission requirements and troubleshoot testing and operational anomalies Perform trade studies, modeling, simulation and other forms of analysis to validate algorithm accuracy, robustness, and performance Conduct simulation and testing for validation of navigation algorithms and system performance. Collect and analyze platform telemetry data to validate platform operation and performance Support the design, development, integration and testing of an inertial navigation systems (INS) for aerospace vehicles (UAS, spacecraft, missiles, etc.) Use and update Anduril's existing navigation models and simulations to predict navigation performance Support and drive the development of algorithms for navigation, guidance, and control systems, including extended Kalman filters and other estimation methods using various programming languages Support and drive the development of advanced sensor fusion algorithms leveraging INS, GNSS, cameras, LiDAR, and other sensors for highly precise navigation in complex aerospace environments. Apply covariance analysis techniques for early requirements derivation, as well as to optimize navigation system performance, error modeling, and system uncertainty assessments. Improve calibration procedures for sensor suites used in aerospace navigation systems. Collaborate with multidisciplinary teams to integrate navigation solutions into overall flight systems.   REQUIRED QUALIFICATIONS: Bachelor's or Master's degree in Aerospace Engineering, Electrical Engineering, or a related field 2 or more years of experience in Guidance, Navigation & Control engineering or related technical experience Proficiency in MATLAB & Simulink, C/C++ Strong knowledge of navigation principles, including inertial navigation, GPS Experience with technologies such as vision-based solutions and star trackers are a plus Experience with navigation system design, development and testing on aerospace systems Expertise in Kalman filtering, Extended Kalman filtering, and other estimation techniques. Experience with Factor Graphs is a plus Experience with real-time systems and embedded software development is a plus. Knowledge of sensor fusion and data integration techniques Demonstrated expertise in covariance analysis methodologies and transfer alignment techniques. Strong problem-solving and analytical skills General knowledge of guidance and flight control systems is a plus Experience applying covariance analysis techniques to optimize navigation system performance, error modeling, and system uncertainty assessments, and requirements methods Must be able to obtain and maintain eligibility for access to a U.S. Top Secret material.   PREFERRED QUALIFICATIONS: Autonomous air, ground or undersea vehicle navigation experience, focusing on low-cost sensors Adapt and apply real-time pose localization algorithms from robotics to enhance the accuracy and robustness of vehicle navigation where applicable. Current eligibility at the Top Secret level preferred US Salary Range$138,000—$252,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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ABOUT POOLSIDEIn this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will determine who survives and wins. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research and engineering at scale. They will create powerful economic engines. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this.poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress.We believe that software development will be the first major capability in neural networks that reaches human-level intelligence because it's the domain where we can combine Search and Learning approaches the best.At poolside we believe our applied research needs to culminate in products that are put in the hands of people. Today we focus on building for a developer-led increasingly AI-assisted world. We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. We also believe that as we increase the capabilities of our models, we increasingly empower anyone in the world to be able to build software. We envision a future where not 100 million people can build software but 2 billion people can.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEEvaluation is one of the most important pillars of building a frontier model and product - it informs the direction of research and development, powers our experimentation and ensures quality and alignment with our users.To support this, we need a powerful pipeline and self-serve evaluation framework that helps poolsiders build, run and extract insight from evals easily.In this role, you will design and implement this platform to build and run evaluations at scale.YOUR MISSIONBuild a scalable self-serve evaluation platform to power our research and developmentRESPONSIBILITIESDesign a Python framework that makes it easy for poolsiders to implement both internal and public benchmarks in a centralized wayBuild and maintain the pipeline that runs distributed evaluations at scaleCollaborate with modeling and product teams to identify opportunities to improve our experimentation and evaluation toolingSKILLS & EXPERIENCEStrong engineering backgroundExperience leading software projects cross functionallyExperience building highly reliable and well tested servicesExperience with distributed systemsData pipelines, distributed processingMessage queues, event-driven architectures, e.g. Kafka, Google pub/sub.Clouds: managed services, storage. GCP, AWS, Azure.Monitoring and alerting: Grafana, Prometheus, DatadogPlus: Experience designing frameworks or tooling for developersA product mindset towards building developer facing softwareA knack for collaborating with researchers and ML engineers to identify opportunitiesPlus: Experience with ML ops and data visualization platformsPROCESSIntro call with one of our Founding EngineersTechnical Interview(s) with one of our Founding EngineersTeam fit call with the People teamFinal interview with Eiso, our CTO & Co-FounderBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

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About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.About the Role We are seeking a Senior or Principal Scientist to join our team and lead from the bench. The ideal candidate will have a strong foundation in protein expression in both eukaryotic, prokaryotic and cell free systems, with demonstrated expertise in cloning techniques essential for therapeutic protein development.  Candidates with pharmaceutical or industrial experience in protein production at scales ranging from microgram to gram scales are strongly preferred. About You The successful candidate will have a strong understanding of the biophysics of protein-protein interactions, protein chemistry and extensive experience in the molecular biology and biophysical techniques essential for protein engineering. You will be expected to work independently, drive scientific execution in the lab, and provide technical leadership on complex projects.  Supervisory or mentorship experience is desirable, as is the ability to collaborate effectively within cross-functional teams spanning discovery, process development, and analytical functions. Strong communication skills and the ability to present scientific data to diverse audiences are essential.  We are looking for a highly adaptable individual who can excel in a fast-paced, matrixed environment with shifting priorities and multiple responsibilities. This is a hands-on role suited for a scientist who is passionate about advancing drug discovery and development through innovation and scientific rigor.   Key Responsibilities Protein expression in multiple systems including mammalian, prokaryotic, insect and cell free systems is the primary responsibility. Downstream processing of samples including harvesting cells in small scale and up to 20 L using depth filters, affinity chromatography, ion exchange chromatography, and sizing. Use of various analytical techniques to evaluate process efficiency and quality. It is anticipated that this will require creative and unique approaches, including construct design and screening to increase yields, the development of novel strategies and methods for difficult to express proteins and to increase stability of problematic proteins.  The target proteins will be therapeutic proteins, antigens for the generation of therapeutics, assay reagents for screens, and proteins for structural studies. Experience in high throughput expression and purification is expected. The experience and flexibility to work on downstream purification is required. Leadership and mentoring of team members is expected. Excellent record keeping and organization is a must. Qualifications PhD with 8+ years of industry experience is required. Strong technical background in protein expression, tissue culture, aseptic techniques, and the operation and maintenance of bioreactors in an industry setting a must. Experienced molecular biologist with the ability to design and make expression constructs is required. Mammalian transient protein expression and cell line generation is required. Experience with insect cell expression using baculovirus and S2 cell line generation is strongly preferred. Experience with prokaryotic and cell free expression is a plus. Hands-on experience in generating and managing research cell banks is essential. Experience in protein purification and protein characterization is required. Experience with HPLC and FPLC techniques is desirable, specifically, knowledge of Agilent HPLC and Cytiva AKTA systems.  Downstream medium scale (10 - 20 L) sample preparation for purification. Protein analysis for expression including SDS-PAGE, CE-SDS, glycosylation analysis, cIEF and BLI/SPR. Demonstrated expertise in protein expression processes, ranging from 96-well plate formats to scales of up to 10-liter bioreactors, is required. Proven expertise in biological research, demonstrated by publications in peer-reviewed journals, issued patents, and successful IND filings. Track record of independently leading complex research projects while working collaboratively within cross-functional teams. Committed to fostering an inclusive, respectful environment that embraces diverse perspectives. Demonstrated inclusive leadership through active listening and thoughtful engagement with all viewpoints.   Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $140,000 - $205,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. Xaira Therapeutics is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform critical job functions, and to receive other benefits and privileges of employment. Please contact Human Resources to request accommodation. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.