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The Role Software Engineers at Palantir drive large-scale transformation through data, AI and world-leading infrastructure that supports mission-critical workloads. In this role, you’ll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to: • Rubix and Apollo, platforms deployed at the most important institutions across the public and private sectors• Shaping Mission Manager, our new internal-infrastructure business line, used by advanced civil and defense agencies worldwide to power their infrastructure in highly sensitive environments• Building the core capabilities used by advanced civil and defense agencies worldwide to power their infrastructure• Providing the substrate on which Palantir deploys its other platforms, Foundry and Athena, which power workflows for research scientists, aerospace engineers, intelligence analysts and economic forecasters You’ll join our Production Infrastructure organization, made up of small teams of engineers working on: • Environment Platform: a Kubernetes-based PaaS spanning hundreds of production clusters• Apollo: secure, fleet-wide deployment and change-management for complex microservice suites• Signals: our full suite of observability and alerting tools Core Responsibilities As a Software Engineer at Palantir, you’ll own every phase of the product lifecycle—from generating ideas and designing prototypes to executing features and shipping releases—while being paired with a dedicated mentor who champions your growth. You’ll work hand-in-hand with both technical and non-technical colleagues to uncover real customer problems and deliver solutions that address them. To gain firsthand insight, you might sit side-saddle at a military exercise or partner directly with vendors using Palantir’s Apollo & Rubix to put our software into the hands of warfighters and government workers. SWE principles include: • Ownership: We see projects through from beginning to end in spite of obstacles we may encounter.• Collaboration: We work internally with people from a variety of backgrounds — such as other Software Engineers, Product Managers, Designers and Product Reliability Engineers. We also partner with our business development teams (Forward Deployed Engineers, Deployment Strategists) in order to understand and solve our customers' problems.• Trust: We trust each other to effectively handle time and priorities, and don't micromanage. We want people to have the space to think for themselves, while feeling supported by their team. Technologies We Use It doesn’t matter what languages you know when you join us; what matters is that you can write clean, effective code and learn new languages quickly. Our software is constantly evolving, so we need engineers who can do the same. Alongside peers that bring diverse experience - whether you’re a former university Teaching Assistant, switched to computer science recently, or are a hackathon enthusiast — you'll build your skills to apply the best technology to solve a given problem. Right now, we use: • A variety of languages, including Java and Go for backend and Typescript for frontend• Open-source technologies like Kubernetes, Cilium, Envoy, Grafana, React, and Redux• Industry-standard tooling, including Gradle and GitHub, and agentic tools like Windsurf & Cline What We ValueAbility to communicate and collaborate with a variety of individuals, including engineers, users and non-technical team members.Willingness to learn and make decisions independently, and the ability to ask questions effectively.Active US Security clearance, or eligibility and willingness to obtain a US Security clearance. What We RequireEngineering background in fields such as Computer Science, Mathematics, Software Engineering, and Physics.Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.Experience coding in programming languages, such as Java, C++, Python, JavaScript, or similar languages. To apply, please submit the following:An updated resume / CV - please do so in PDF format.Thoughtful responses to our application questions.

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About the TeamThe Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI’s long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making.About the RoleAs one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market.This role requires deep expertise in predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making.This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.In this role, you will:Become an expert in OpenAI’s data and systems. Partnering with Data Engineering, Finance, and other teams, you’ll self-serve data to derive critical insights.Scale causal inference models to measure the impact of different actions on user growth and financial outcomes.Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value.Automate standardized reporting and analysis by building data products or agentic solutions.Support product pricing and other business decisions with ad hoc analysis.Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making.Manage and lead cross-functional data science projects end-to-end. You might thrive in this role if you have:MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization.Proficiency in Python, SQL, Tableau, and other analytical tools.Strong analytical skills and experience working with large, complex data sets.Proven ability to distill complex data into actionable insights for leadership.Ability to independently initiate and complete projects, owning them end-to-end.Excellent communication and storytelling skills when presenting data insights.Exceptional attention to detail and a commitment to accuracy.You could be an especially great fit if:You’re an enthusiastic self-starter who thrives in fast-paced, dynamic environments.You’re a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed.You’re passionate about technology and artificial intelligence.You use first-principles thinking to design solutions from the ground up based on user needs and operational realities.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Who we are:Our mission is to make the internet safer and more enjoyable for everyone. We combine state of the art AI technology and human judgment for best in class content detection, harm mitigation and safety monitoring. We are a VC-backed startup, founded by senior Google, Youtube, TikTok and Reddit executives, working with some of the world’s largest online platforms, and fast-moving startups. If you are looking for an opportunity to apply AI technology to real-world business use cases at a significant scale, and an opportunity to shape the future of how we can safely enjoy user generated online content, we’d love to hear from you.What you’ll do: As an Engineering Manager for our AI/LLM team, you will lead a group of talented engineers focused on the development and deployment of large language model (LLM) - based systems for content understanding and moderation. This is a hybrid role combining people leadership and individual technical contribution. You will help shape our technical vision, support infrastructure development, guide product alignment, and play a key part in delivering robust AI solutions to our partners.In addition to managing the team’s performance and growth, you will actively contribute to architecture, experimentation, and implementation - especially where AI systems intersect with production deployment and real-world evaluation.Key Responsibilities:Manage and mentor a high-performing team of AI Engineers working on LLM-driven content labeling and moderation systems.Design, build, and evaluate scalable training and inference infrastructure for LLMs and other AI models.Partner closely with product, engineering, and policy teams to align technical solutions with customer needs and strategic goals.Contribute to codebases by reviewing critical PRs, building prototypes, and resolving production issues.Foster a strong engineering culture centered on quality, performance, reliability, and safety.What we’re looking for:Engineering management experience, preferably in AI or ML-focused teams.Demonstrated experience delivering LLM-based solutions to production, ideally in content moderation, NLP, or safety-related domains.Proficiency in Python; strong background in cloud-based deployment (especially AWS) and CI/CD processes.Deep familiarity and track record of being hands on with model evaluation, including handling imbalanced datasets and defining success metrics for classification models.Why Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth, as a technical individual contributor, or manager.Apply AI technology to real-world business use cases at a significant scale, with blue chip customersCompetitive compensation, comprehensive benefits, and hybrid in-office policy.Pay range is specific to the U.S. – Bay Area; compensation may differ by region.The pay range for this role is: 180,000.00 - 250,000.00 USD per year (Palo Alto)

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About AnyscaleAt Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the roleThe Customer Support Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption.Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.In this role, you’ll be able toResolve customer issues and help in their successful adoption of Anyscale platformBe a technical advisor, and internal champion for our key customersOwn customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolutionParticipate in our follow-the-sun customer support model to ensure continuity in resolving high priority ticketsKeep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolutionContribute towards improvement of internal tools and documentation of playbooks, guides and best practices etc. based on observed patternsHabitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experienceBuild and maintain strong relationships with technical stakeholders within customer accountsQualifications5+ years of experience in a customer-facing technical role with 2+ years in a dynamic, fast-paced, startup-like environmentStrong organizational skills and ability to manage multiple customer needs simultaneouslyExperience as a machine learning engineerExperience in training, fine-tuning and inference/serving of LLMsKnowledge in one or more of the major cloud platforms (AWS, GCP or Azure)Excellent communication and interpersonal skills.Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new thingsWillingness to uplevel the knowledge and skills of your peers through mentorship, trainings and shadowingBonusExperience with RayKnowledge of MLOps platformsFamiliarity with container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)CompensationAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted. Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs a founding member of our revenue organization, you will play a vital role in building and scaling our growth engine. You will drive pipeline by identifying new business opportunities and building a modern outbound playbook. You will collaborate with account executives, the VP of Sales, and the Growth team to create and execute repeatable pipeline generation processes.Key ResponsibilitiesCampaign Management: Create and manage email campaigns for both cold and warm outbound leads.Outbound Prospecting: Assemble lists of potential leads and manage outreach efforts through various channels like email, LinkedIn, and cold calling.Stakeholder Management: Communicate effectively with various stakeholders to ensure alignment and successful execution of campaigns.Vendor Selection and Evaluation: Identify and select the best tools and vendors for prospecting and marketing and sales automation, including AI-driven solutions.Tool Setup and System Building: Set up and integrate various automation tools, including AI tools, to build efficient systems for outbound and inbound sales efforts.Data Enrichment: Use tools, including AI-driven platforms, to enrich lead data, ensuring accurate and comprehensive information for outreach.Qualifications1+ years experience in an analytical, sales, business development, growth, or engineering role OR a former founderFamiliarity with sales and marketing automation tools like Clay, Smart Lead, Leadfeeder, Unify, Warmly, Amplemarket, Expandi and LinkedIn Sales Navigator.Demonstrated success in consistently exceeding expectationsExcellent communication and presentation skillsAbility to work independently in a hybrid work environmentThrives in a rapidly changing, high growth tech environmentBachelor's degree or equivalent experienceA genuine curiosity around AIOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!We’re looking for a strategic, hands-on Director of Product Marketing to lead and scale our go-to-market engine. As our product marketing leader, you’ll serve as the connective tissue between product, marketing, sales, and customer success. You’ll craft differentiated narratives, influence roadmap strategy, launch new products, and enable the teams who take our platform to market. You should be both an architect and a builder with the vision to shape strategy and the drive to execute. If you’re passionate about AI/ML, enjoy translating technical products into compelling stories, and thrive in fast-paced, high-growth environments, we’d love to meet you. Main Responsibilities Messaging & Positioning: Craft clear, differentiated, and scalable product messaging that speaks to enterprise buyers, technical users, and business stakeholders alike. Go-to-Market Strategy: Own product launch processes such as campaign rollouts and sales enablement. Persona Development: Build and refine ICPs, decision-maker maps, and customer journey frameworks. Product Launches: Plan and execute successful rollouts for new features and platform offerings in coordination with product, marketing, and customer teams. Competitive Intelligence: Monitor the landscape, analyze competitors, and translate insights into strategy adjustments. Analyst Relations & Thought Leadership: Support AR strategy and help secure placement in key industry rankings and media coverage. Preferred Qualifications 8–12 years in B2B product marketing, with 3+ years in AI/ML, dev tools, or SaaS Proven success launching technical products in B2B startup or scale-up environments Experience owning positioning and GTM strategy from scratch A collaborative mindset and ability to work cross-functionally with product, sales, and leadership Technical curiosity and ability to translate deeply technical concepts into simple narratives Strong storytelling and design instincts—can bring messaging to life across channels Familiarity with tools like Figma, Salesforce, Google Workspace and Google Analytics Technical expertise in AI model development, including pretraining, evaluation, domain-specific knowledge distillation, agentic reasoning, and tool use Community-building experience The salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $230,000.00 - $320,000.00   #LI-GM1Salary Range $230,000—$320,000 USDBe Your Best At Snorkel   Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.   Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.   Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.   We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Ideogram is on a mission to make professional-quality design accessible to everyone. We’re building an AI-native application that helps creative individuals and teams produce high-quality content faster and at a lower cost. We are pushing the boundaries of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a growing presence in NYC. Read our Ideogram 3.0 and Canvas blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About The RoleAs a Frontend Engineer, you will develop a sleek and engaging user interface in a large-scale consumer web environment. You will play an important role in each step of the product development process, from conceptualization to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users.Your ideas will help shape the direction of our product(s)You will build out consumer-facing features to power the future of inspiration to the planetYou will learn about new technologies and discuss solutions to problemsYou will own end-to-end feature developmentYou will write clean, testable, peer-reviewed codeWhat We're Looking For5+ years developing innovative and delightful consumer experiences at scale in HTML, CSS, JS, React, Angular, NodeJS, Flask, etcBackground and experience with modern design processes and tools like FigmaExperience building user friendly experiences based on design and product requirements.Knowledge of core CS fundamentalsStrong analytical and problem-solving skillsSelf-starter - able to come up to speed on complex, difficult concepts with minimal assistanceProven track record of communicating complex technical issues across teamsCuriosity and excitement about generative AI technology and its impact on the creative economyBachelor's degree in Computer Science, Engineering, or related fieldsFounding TeamOur founding team consists of world-renowned AI experts including Mohammad Norouzi, Jonathan Ho, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, UC Berkeley, CMU, and the University of Toronto. Our fundamental work in AI includes: Imagen: Google’s text-to-image system, Imagen Video for video synthesis, Denoising Diffusion Models, which is the foundation of the recent generative media transformation.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.

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Senior Bioinformatician – TranscriptomicsAbout 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. Our mission is to transform regenerative medicine using our AI-driven DeltaStem platform. 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:We seek a skilled Computational Bioinformatician to lead the design and execution of analysis pipelines for large-scale transcriptomic datasets. You’ll be responsible for preprocessing, quality control, and biological interpretation of sequencing data, contributing to the development of novel sequencing protocols and technologies in close collaboration with wet lab scientists, computational biologists and machine learning researchers to support Somite’s therapeutic programs.This is a hands-on, data-centric role ideal for someone who thrives in a fast-paced, interdisciplinary environment and wants to help build transformative cell therapy technologies from the ground up.Responsibilities:● Build, maintain, and run robust, reproducible pipelines for single-cell and bulk RNA-seq data (QC, alignment, quantification, normalization, clustering, annotation, etc.).● Apply standard and advanced analyses using tools like Scanpy, Seurat, and R/Bioconductor packages.● Process and interpret data from state-of-the-art single-cell transcriptomic and multiomic platforms, alongside new in-house protocols being developed to enable innovative microbiological sequencing workflows.● Collaborate with wet lab scientists to support experimental design and data interpretation.● Mentor and foster collaboration and knowledge sharing across disciplines.● Help design and validate cutting-edge protocols for novel transcriptomic technologies, integrating new experimental modalities with bioinformatics pipeline.Qualifications:● PhD in Bioinformatics, Genomics, Computational Biology, or a related field. Equivalent industry experience is also welcome.● 3+ years of hands-on experience analyzing large-scale single-cell or bulk transcriptomic datasets.● Proficiency with common genomics tools: SAMtools, STAR/STARsolo, Bowtie, Tophat, HTSeq, Clustal, bash scripting, etc.● Strong command of Scanpy or Seurat Demonstrated fluency in Nextflow/Snakemake and workflow reproducibility principles.● Strong R and/or Python programming skills.● Excellent organizational and documentation habits. Strong programming skills and experience developing robust products, preferably in Python● Passion for data-driven biology and its potential to transform healthcare.Preferred Qualifications:● Experience working in a quantitative lab or with biotech/pharma pipelines.● Experience working in a fast-paced startup or interdisciplinary team.● The opportunity to contribute to platform technologies with real-world therapeutic impact.● Experience working at the interface of technology development and data analysis, particularly involving novel molecular biology or sequencing techniques.Click the following link to Apply:https://jobs.ashbyhq.com/somite-ai?utm_source=LinkedIn+Manual+PostingWhat We Offer:● A mission-driven team reshaping healthcare through innovation in AI and cellular engineering - with the potential to significantly impact the lives of millions.● The opportunity to contribute to platform technologies with real-world therapeutic impact.● Work alongside a talented, collaborative, 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, equity and benefits package, including flexible work options.Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.Join and help us unlock the full potential of AI for the benefit of human health.

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Job Title: Lead Machine Learning Engineer (Computer Vision) Location: Washington, DC (Hybrid – 1 day/week in office) Note: Applicants must possess a minimum of 7 years of hands-on experience in production (non-research focused) environments, excluding internships, to be considered for this position. Prior leadership or mentorship experience is strongly preferred.Company Overview Each year, over 4 million people die from complications following surgery. At the Surgical Data Science Collective (SDSC), a mission-driven nonprofit, we’re changing that. We harness the power of machine learning and computer vision to analyze surgical video and provide actionable feedback to improve surgical technique and outcomes. Our vision is to make surgery safer and smarter through technological innovation, and we’re looking for exceptional talent to help us do it.Position SummaryWe are seeking a Lead Machine Learning Engineer with deep expertise in computer vision and deep learning, and a proven ability to drive complex projects from ideation to deployment. This is a hands-on leadership role, combining technical excellence with strategic thinking and team collaboration. You’ll help define our technical roadmap, mentor engineers, and lead the development of algorithms and systems that analyze surgical video at scale.You’ll work closely with our Director of Machine Learning and cross-functional teams of researchers, engineers, and clinical partners to turn real-world surgical video into breakthrough insight and feedback tools. You'll also play a critical role in translating research and experimentation into production-ready systems, helping bring ML models into real-world use as core features of our surgical analytics platform.Key ResponsibilitiesLead the design and development of state-of-the-art computer vision and ML algorithms focused on surgical video analysis.Mentor and guide a small team of engineers while contributing directly to code and system architecture.Architect and optimize data pipelines, model training workflows, and inference systems for high-volume video data.Collaborate with researchers and clinicians to translate user needs and scientific advances into robust technical solutions.Own the technical design and implementation of CV/ML systems, from prototype to production deployment.Lead efforts to productize ML models, ensuring scalability, performance, and seamless integration with core product features.Continuously evaluate and integrate emerging technologies, models (e.g., ViTs), and tools to elevate SDSC’s capabilities.Contribute to and review technical documentation and help establish engineering best practices across the team.Minimum Qualifications7+ years of professional experience in machine learning and computer vision, including production-level model deployment.Proven leadership experience — team mentorship, technical lead roles, or ownership of complex projects.Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.Deep experience with Python, OpenCV, and deep learning frameworks such as PyTorch, TensorFlow, or Keras.Strong understanding of modern neural network architectures (CNNs, RNNs, LSTMs, ViTs) for image and video analysis.Demonstrated experience bringing ML models into production as part of a product or system, not just in research or prototype phases.Hands-on experience with MLOps tools like ClearML and Weights & Biases, and cloud platforms such as AWS (SageMaker, Lambda).Experience designing scalable CV/ML pipelines, managing large datasets, and optimizing model performance.Familiarity with modern software development practices (version control, CI/CD, testing, containerization, etc.).Nice to HavesExperience with Vision Transformers (ViTs) or multimodal learning systems.Background in medical imaging or working in regulated healthcare environments.Prior experience at startups or in fast-paced, early-stage product environments.Exposure to video compression, real-time streaming pipelines, or edge deployment.Why Join Us?Join a mission-driven nonprofit dedicated to making surgery safer on a global scale.Work on challenging, high-impact ML problems with real clinical relevance.Enjoy competitive salary, 401(k), health insurance, and flexible work arrangements.Be part of a collaborative, creative, and inclusive environment where your contributions matter.About us: The Surgical Data Science Collective (SDSC) is a nonprofit on a mission to unlock the power of surgical data. We bring together surgeons, scientists, and engineers to turn surgical videos into searchable, data-rich tools. Using AI, we help uncover insights that improve technique, sharpen decision-making, and elevate patient care. From smarter metrics to secure video libraries, we give surgical teams the tools to ask better questions—and find better answers. Because when surgeons get better, patients do too.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Mid Market Customer Success Manager at Harvey, you will own value realization for customers, helping to define the future of legal work at top enterprises and leading law firms. You’ll act as a trusted expert and guide customers through the process of integrating AI into the daily workflows of lawyers and other professionals. You will not only help customers to identify use cases for Harvey, but also help transform the practice of law. You’ll deeply integrate Harvey into your customers' business processes and workflows, build lasting relationships, and partner with Account Executives to renew and expand Harvey’s strategic partnerships.What You’ll DoOnboarding: Integrate Harvey into customer workflows, guide administrators with data-backed best practices, ensure optimal use of our AI solutions.Training & Enablement: Champion the power of Harvey as you meet with end users and position Harvey as essential to strategic legal work.Relationships: Navigate complex organizations as the primary contact, foster champions, engage executive buyers, and build loyal Harvey advocates.Success Metrics: Align with customers on adoption rates, measurable value, and positive AI experiences to ensure customer value realization and ROI.Expansion and Renewal: Collaborate with Account Executives to maintain customer renewal readiness and leverage customer needs to drive expansions.Product Feedback: Represent customer needs internally and relay insights back to Product and Engineering, continuously improving the Harvey platformWhat You HaveIdeal candidates for the Mid Market CSM role at Harvey can demonstrate comfort and experience with the following qualifications:3-4+ years in customer-owning roles at tech or SaaS platformsAdapting seamlessly in the face of high-speed change and growthStrategic planning, revenue-based prioritizationManaging a high volume of customer-facing projects and timelinesRunning in-person meetings w/ executivesMapping an organization and influencing stakeholdersDriving key customer metrics and outcomesOwning a revenue, expansion, and renewal targetDemonstrating a strong point of view and proactive self-managementWorking cross-functionally with Product and Sales teamsPlease find our UK applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are in the early innings of a generational company. Joining early at a hypergrowth startup has proven to lead to exponential growth in responsibility, access, and ability. Apply here today!

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.  In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings. What you will do • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll individually help deploy into production use cases with a considerable business impact across various industries. • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.• You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback   About you • You are fluent in English• You hold a PhD / master in AI / data science.• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases• You have deep understanding of concepts and algorithms underlying machine learning and LLMs• You're experienced with building and deploying LLMs or NLP applications• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.• You have strong technical coding skills in Python• You have experience with deep learning with Pytorch• You have experience with agents framework such as Langchain, vector DBs• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: • Contributed to open-source projects in particular in the space of LLMs• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager Benefits We have local offices in Luxembourg, Paris, Marseille, London and Singapore. France 💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK 💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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Austin, TX  | Manhattan, NYC | Hybrid (Minimum 4 days in office)  |  Full Time  |  https://kizen.com About Us At Kizen, we’re engineering a more humane future where AI drives universal healthcare, more impactful work, world-class education, exceptional customer experiences, and — overall — a more fulfilling human experience. Kizen is on a mission to give every team member an AI Assistant - turning every company into an AI-company, every worker into an AI-Enhanced Worker, and every Process into an AI-optimized, continuously improving process. Kizen is the first GenAI enterprise application builder. Businesses of any size, within any industry can build AI assistants for complex jobs across healthcare, finance, and HR and modern enterprise applications - like CRMs, Workflow Automation, Real Time Dashboards, and Secure Portals in minutes and perfect them in an afternoon. Kizen helps teams systematically improve processes and business outcomes with data-driven insights and powerful automation with access to all the latest AI models. About the Role Shape the Future of AI at Kizen Are you ready to push the boundaries of what's possible with AI and backend systems? At Kizen, we're engineering intelligent systems that combine cutting-edge AI with robust backend architecture to revolutionize healthcare, redefine work-life balance, transform education, and elevate customer experiences. Our mission is to create technology that doesn't just work – it transforms how businesses operate. As we rapidly expand, we're seeking exceptional engineers who excel in both AI development and backend systems. This is your opportunity to be part of something transformative – to architect and build systems that set new benchmarks for what technology can achieve across industries. At Kizen, you'll join a brilliant, fun team tackling challenges that matter. We offer: The opportunity to work on groundbreaking AI technologies with real-world impact A startup culture that values innovation, ownership, and rapid iteration Regular opportunities to present your technical solutions to company leadership A supportive environment for professional growth and learning We're looking for a Principal AI Engineer to provide strategic feedback and direction for our engineering team as we bring our next-generation platform to the world. In this position, you'll architect, plan, and build sophisticated AI systems with collaborators seamlessly integrating with our backend infrastructure, focusing on generative AI, retrieval-augmented generation (RAG), and multi-agent architectures. Key Responsibilities Lead the design and implementation of production-ready RAG systems that integrate seamlessly with our backend infrastructure using Django, Kafka, PostgreSQL, and Clickhouse Architect multi-agent AI systems that operate effectively within our platform's constraints and understand business value implications. Drive product strategy by providing accurate work estimations and technical roadmaps with minimal supervision. Design and implement sophisticated vector search solutions, including graph-based RAG systems Architect and build highly scalable LLM-powered systems that can handle enterprise-level workloads Lead LLM fine-tuning initiatives to customize models for specific business domains and use cases Design and implement user feedback systems to collect, analyze, and incorporate insights for continuous improvement Optimize LLM performance, cost, and reliability in production environments Establish MLOps best practices using platforms like Langfuse or LiteLLM to ensure robust model monitoring and evaluation Mentor and develop junior engineers in AI/ML best practices Collaborate with cross-functional teams to translate business requirements into technical solutions Lead system architecture decisions and technical direction for AI initiatives Evaluate emerging AI technologies for potential adoption Experience Required Qualifications Education and Experience Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field 8+ years of backend engineering experience with Django, Kafka, and PostgreSQL 4+ years of hands-on experience building and deploying machine learning systems Proven track record of implementing production RAG systems at scale  Strong experience in product management, including work estimation and roadmap planning Experience building solutions at scale with large enterprise data in healthcare, finance, or banking sectors. Technical Expertise Expert-level Python development skills with Django experience Deep understanding of distributed systems and message queuing using message broker systems (e.g., Kafka) Advanced PostgreSQL knowledge, including optimization for AI workloads Experience building and optimizing retrieval-augmented generation (RAG) systems Experience architecting and implementing multi-agent AI systems Knowledge of deep learning frameworks (PyTorch or TensorFlow) and NLP, particularly transformer architectures Experience with cloud platforms (AWS preferred) and containerization (Docker, Kubernetes) Experience building solutions using pre-trained LLMs (OpenAI, Claude, Llama, etc.) Strong background in MLOps practices and tools, including platforms like Langfuse or LiteLLM Proficiency in writing clean, well-documented code and troubleshooting complex issues Experience in testing and validating products and communicating results with stakeholders ML/AI Experience Experience applying graph algorithms to machine learning problems Strong experience with modern NLP techniques and transformer architectures Knowledge of evaluation metrics for NLP system performance Solid foundation in probability theory and statistical inference Experience with statistical modeling and hypothesis testing Understanding of sampling methods and experimental design LLM Systems Expertise Proven experience designing and implementing scalable LLM-powered systems in production environments Deep understanding of LLM orchestration and optimization techniques for high-throughput applications Experience with prompt engineering, fine-tuning, and context window management for optimal LLM performance Demonstrated expertise in LLM fine-tuning methodologies, including RLHF, PEFT, and LoRA techniques Experience building data collection pipelines for LLM training and fine-tuning Knowledge of efficient usage strategies, cost optimization for LLM API consumption, and performance optimization of large-scale deployments. Experience implementing LLM caching mechanisms and vector store optimizations Expertise in designing fault-tolerant LLM architectures with appropriate fallback mechanisms Understanding of techniques to reduce latency in LLM-powered applications Knowledge of strategies for handling data privacy and security in LLM applications User Feedback and System Improvement Knowledge of model monitoring and evaluation techniques Experience designing and implementing robust user feedback collection systems for AI applications Knowledge of feedback aggregation and analysis techniques to identify patterns and improvement areas Experience building systems that leverage user feedback for continuous LLM improvement Understanding of human-in-the-loop approaches for refining AI system outputs Experience with A/B testing frameworks to evaluate AI system changes Ability to translate user feedback into actionable model improvements Experience implementing evaluation frameworks to measure AI system quality and performance Professional Skills Demonstrated ability to lead technical initiatives and architectural decisions Experience managing technical product roadmaps and providing accurate work estimations Strong problem-solving skills and ability to work independently on complex projects Strategic thinking ability to balance immediate solutions with long-term scalability Excellent collaboration skills when working with cross-functional teams Excellent written and verbal communication skills in English Driven, self-motivated, adaptable, empathetic, energetic, and detail-oriented Preferred Qualifications Experience with graph-based RAG systems Contributions to open-source projects in backend or AI domains Experience with streaming data processing at scale Deep interest in emerging AI technologies and their practical applications Strong mentoring capabilities to guide and develop team members Ability to work in our Los Angeles or Austin office Why Kizen We’re a fast-growing company that values innovation, growth, and continuous improvement. By joining Kizen, you’ll play a pivotal role in shaping the future of the company while enjoying a supportive, dynamic, and collaborative workplace. You’ll have opportunities for professional development, impact, and career advancement. What We Offer Hybrid Work Model Career Growth Opportunities Engaging Work Culture Top-Tier Compensation Equity Package Healthcare Coverage Professional Development Stipends PTO  Kizen is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. At Kizen, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals.  The base salary range for this position is $250,000-$350,000. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer generous equity and benefits packages. If you’re excited about creating impact experiences and contributing to a fast-paced, people-focused team, we’d love to meet you! OTE - $312,000-$412,000KCompensation Range$250,000—$400,000 USD

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Our Applied ML Team works directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. In this role, you’ll apply your problem-solving ability, creativity, leadership and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!As a People Leader for the SWE team within Applied ML team, you will: Own and build large new areas within our product and scale to millions of dollars of revenue impact.Lead a cross-functional team of Software Engineers.Work across backend, frontend, and customize Large Language Models.Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.Work across the entire product lifecycle from conceptualization through productionYou might be a good fit if you have: Strong SWE Leadership experience and a passion for growing and developing team members. 5+ years of experience building AI-backed products with millions of dollars of revenue impact.Experience with B2B Enterprise SaaS applications.Experience scaling products and teams at hyper-growth startups.Strong written and verbal communication skills.Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.Nice to haves: Experience building LLM applications using tools such as Langchain.Experience with Information Retrieval Systems for document question answering.Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs Operational Impact Manager, your mission is to ensure our defense solutions deliver maximum operational value in the field. You are the single point of accountability for operational adequacy: collecting feedback from users, identifying usage gaps, and translating insights into actionable products, new product areas and deployment improvements.Your work ensures that what we deliver is not just functional but mission-effective.ResponsibilitiesOperational Alignment: Ensure that Harmattan AI’s solutions are fully aligned with real-world operational requirements.Feedback Centralization: Act as the main point of contact for all feedback related to operational performance and impact.Impact Maximization: Identify and prioritize areas where improvements can significantly increase value for end-users.Cross-Team Liaison: Work closely with engineering, product managers, and deployment teams to channel field insights into system design and upgrades.Networking through forces: In close relation with Sales & Marketing, develop network with final users of Harmattan AI solutions to maximize feedback and lobbying.Sales & Marketing Interface: Collaborate with Sales/Marketing to ensure commercial narratives are rooted in operational reality and that field insights inform future positioning.Candidate Requirements5-10 years of military experience in field operations, systems integration, or user success roles, ideally in defense, aerospace, or robotics.Deep understanding of how high-tech systems are deployed and used in complex operational contexts, ability to identify areas for new products.Detail-oriented with excellent documentation and organizational skills.Strong communication and leadership skills, with the ability to motivate and guide teams toward success.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a Product Manager at Harmattan AI, you will be at the heart of company strategy, as you will be in charge of product specification and roadmap based on market and technological analysis, as well as full scale development and industrialization of the product. You will be responsible for managing timelines, resources, and cross-functional collaboration to ensure market fit and successful delivery.ResponsibilitiesProduct Definition: Define product specification based on customer feedback, market analysis and technology; iterate and validate for technical, industrial and commercial feasibility.Project Management: Develop, maintain, and update project timelines, ensuring all deadlines are met during the whole lifecycle of the product.Technical Coordination: Oversee the architecture and the technical development of the system across R&D and industrialization phases, resolving challenges as they arise.Team Leadership: Inspire and manage the project team to maintain a high level of performance and quality.Cross-functional Collaboration: Act as the key interface between technical teams, the product team, and other stakeholders (especially customers, sales, marketing and program) to align efforts and ensure tenders and projects success.Resource Allocation: Manage the allocation of engineering and other resources to meet project goals effectively.Candidate RequirementsMaster’s degree or PhD in Electrical Engineering, Computer Science, or a related field, with at least 5 years of experience in technical roles.Experience and ecosystem knowledge in one of the following field is highly desirable: defense systems, UAV/UxV/robotics, aerospace, radars/RF/radio, optronics, PNT, AI, or related industries.Customer and product-oriented.Proven experience managing cross-functional, high-complexity aerospace, defense or robotics projects that have reached industrialization.Strong technical background with the ability to understand and resolve complex engineering challenges.Detail-oriented with excellent documentation and organizational skills.Strong communication and leadership skills, with the ability to motivate and guide teams toward success.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. As a Senior Developer Productivity Engineer at Together AI, you’ll own the systems and tooling that empower engineers to ship high-quality software faster. You’ll optimize workflows, enhance testing, enable reliable and reusable CI/CD, and work with developers to build out stable local environments. Your work will directly impact release velocity, developer happiness, and cross-cutting enablement ensuring engineers spend less time churning on infrastructure and more time building. Requirements Bachelor’s degree in Computer Science, Engineering, or related field or 5+ years of industry experience in DevOps/SRE, developer tooling, or infrastructure engineering. Proficiency in Python, Go, and JavaScript/TypeScript (for tooling, automation, and FE enablement). Strong experience with CI/CD tools (GitHub Actions, ArgoCD, Gitops methodology) for building scalable, reusable pipelines. Experience with local dev environment tooling (e.g., Skaffold) and containerized development workflows Experience with creating starter templates in coordination with engineering for enabling rapid spin up of new services  Strong ownership and a builder mindset, you love creating tools others rely on. Problem-solving rigor and attention to detail (e.g., diagnosing flaky tests, build latency). Nice to have Kubernetes expertise (EKS, K3s) and optimizing containerized builds. Infrastructure as Code (Terraform, Ansible, Pulumi). Front-end tooling familiarity (e.g., React, Next.js, Jest) to optimize FE dev workflows. Monitoring/observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks. Responsibilities Automate CI/CD pipelines for zero-downtime deployments (e.g., Canary, Blue/Green). Create smart pipelines encouraging reusable workflows and simplicity Streamline build/test/deploy workflows. Build shared tooling (CLIs, codegen, IDE plugins) to accelerate teams. Reduce friction (e.g., faster builds, hot-reload, test tooling). Collaborate with developers to identify pain points and streamline workflows. Champion best practices through documentation.   Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence. #LI-RemoteLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence. #LI-RemoteLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence. #LI-RemoteLabelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Pay Range (rate per hour)$25—$38 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence. #LI-RemoteLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.