Find AI Work That Works for You

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the team We are seeking passionate Research Scientists and Engineers to join our growing Pre-training team in Zurich. We are involved in developing the next generation of large language models. The team primarily focuses on multimodal capabilities: giving LLMs the ability to understand and interact with modalities other than text. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities In this role you will interact with many parts of the engineering and research stacks. Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications & Experience We encourage you to apply even if you do not believe you meet every single criterion. Because we focus on so many areas, the team is looking for both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer spectrum to apply. Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and deep learning frameworks Have worked on high-performance, large-scale ML systems, particularly in the context of language modeling Familiarity with ML Accelerators, Kubernetes, and large-scale data processing Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment You'll thrive in this role if you Have significant software engineering experience Are able to balance research goals with practical engineering constraints Are happy to take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Have ambitious goals for AI safety and general progress in the next few years, and you’re excited to create the best outcomes over the long-term Sample Projects Optimizing the throughput of novel attention mechanisms Proposing Transformer variants, and experimentally comparing their performance Preparing large-scale datasets for model consumption Scaling distributed training jobs to thousands of accelerators Designing fault tolerance strategies for training infrastructure Creating interactive visualizations of model internals, such as attention patterns If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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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.What You'll OwnWe're hiring a Director of Engineering to architect, launch, and scale a 10‑person team of Forward‑Deployed Engineers that owns the entire technical customer journey—from enterprise discovery workshops and proof‑of‑concepts, through implementation and professional services, to expansion. You will start as player‑coach, build a global, high‑leverage organization, and measure success by faster time‑to‑value, higher NPS/CSAT, and sustainable expansion ARR.Responsibilities:Own the end‑to‑end technical customer journey: design and operationalize a seamless arc from discovery → technical win → production launch → value realization and upsell Build & lead the Solutions Engineering function: hire, coach, and retain a diverse team of high‑caliber engineers; institute career paths, mentoring, and technical excellence ritualsPre‑sales architecture & demos: raise win‑rate by personally leading lighthouse deals, producing PoCs, and codifying repeatable demo assets and reference architectures Implementation & Professional Services playbooks: standardize onboarding packages and services SOWs that accelerate time‑to‑value while driving services margin Automate with AI wherever practical: leverage the AirOps platform, LLM agents, and workflow templates to replace manual steps and cut onboarding effort while improving qualityOwn customer health metrics: define and beat targets for Time‑to‑First‑Value, NPS, CSAT, gross retention, and expansion ARRVoice of the customer to Product & Engineering: channel structured feedback and usage telemetry into roadmap priorities; partner on beta programs. Scale globally & efficiently: stand up the right mix of on‑shore, near‑shore, and offshore talent; evaluate partner channels for implementation capacity spikesThought‑leadership & field enablement. Publish solution blueprints, run enablement for AEs/CSMs, and lead enterprise customer enablement sessions (up to 20 % travel)Your Experience:8+ years in customer‑facing technical roles (Solutions Engineering, Professional Services, Forward‑Deployed Engineering) with 2+ years people managementComputer Science degree or equivalent hands‑on engineering background (you still read code and APIs)Proven record building or scaling a Solutions/Services team at a high‑growth AI, SaaS, iPaaS or workflow automation company (e.g., Zapier, Make, n8n, Palantir)Demonstrated success running full pre‑ & post‑sales lifecycle—not just “demo engineering.”Strong fluency with modern AI tooling: prompt engineering, RAG patterns, vector databases, and observability of LLM workflows.Comfortable operating as a player‑coach in seed‑to‑Series‑B environments; you thrive on ambiguity and build process only where it adds speed.8+ years of experience in customer-facing leadership roles, with a focus on SaaS or AI platformsExperience in pre-sales/sales engineering, preferably in a technical or AI-driven product environmentAt least 3 years of people management experience, including building and managing technical and customer facing teamsStrong understanding of customer onboarding and implementation best practices for complex software solutionsTrack record of driving customer retention and expansion in B2B environmentsStrong analytical skills with the ability to translate customer and operational data into actionable insightsExperience with AI techniques including prompt engineering and retrievalPrior startup experience a strong plusAbout YouCustomer‑obsessed technologist who can whiteboard architectures and negotiate SOWs.Builder’s DNA—you prototype first, document second, perfect later. Bias for automation: you measure success in faster, cheaper, more delightful customer outcomesYou inspire teams through coaching, feedback, and transparent metricsYou spike on automating processes in ways that lead to both better customer experiences and lower costsYou have a strategic mindset but aren't afraid to dive into operational details when neededYou're adept at balancing customer satisfaction with business profitability and growthYou're an excellent communicator and can interface flawlessly with both technical and non-technical stakeholdersYou're fascinated with how AI can be used to transform customer experiencesYou have willingness to travel up to 2-3 weeks per quarter to meet with key customers and attend industry eventsOur 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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The Software Applications Engineer will provide technical expertise and support to customers during the implementation and use of Shield AI enterprise software products. This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development. 

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As a Senior Manager of Autonomy Applications, you'll lead a team of applications engineers, providing expert support for customers using our SDK. You’ll prioritize and resolve complex issues, mentor your team, and collaborate with internal teams to drive product improvements. With your technical expertise and leadership, you'll play a key role in enhancing customer engagement and supporting the growth of our robotics and autonomy solutions.

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About Callidus We are entering the golden era of AI. Over the next 5-10 years, breakthroughs will drive a completely new world. Callidus is on a mission to transform the $1T global legal market and we’re well on our way. Callidus is the most advanced legal generative AI platform on the market today. We offer a uniquely powerful platform, enabling lawyers (as one example) to draft a full 30‑page legal brief in ~10 minutes—saving about a week of effort. We are an engineering‑led organization that empowers talent to build collaboratively toward our mission. More than 1,000 paying lawyers rely on Callidus today, and ARR is growing >20% MoM, putting us in the top 1% of funded startups at this level. We’re ready to scale and are looking to triple the size of our team. We work hard, ship fast, and win together.  About The Role The Head of Engineering will lead the development of the most advanced legal AI platform on the market as a 50% strategist/coach, 50% hands-on coder. Improve our ability to scale reliably while preserving our trademark shipping velocity. Competitive cash + meaningful equity. High-intensity, outcome-obsessed culture. San Francisco. We're looking for a Head of Engineering who will: Leads by example— set the standard for technical excellence, code daily, conduct thoughtful code reviewsArchitects for the future and delivers for the present— lead the scaling of our system to support 10x users, while increasing reliability and observabilityIs a master of applied AI engineering—architecting sophisticated systems on top of modern AI APIs to solve complex legal problems with high reliability and performanceGuides a high-performance team— drive hiring, onboarding, and developing our engineering talent, fostering a culture of ownership, intensity, and collaboration to attract and retain top performersSystematically improves engineering velocity and quality— mature our CI/CD pipelines, increase test coverage, and improve release processes, without bogging the team down in bureaucracyIs a strategic business partner— translate complex technical concepts and trade-offs into clear business implications for founders, product leads, and GTM teams, ensuring technical strategy is always aligned with customer value and company goalsMakes difficult trade-offs between speed, robustness, and cost, always prioritizing user impactHelps strategize & lead on roadmap, tech choices, and SOC 2 Type II compliance.Communicates crisply with founders, PMs, design, and GTM to keep everyone rowing one directionFinds ways to leverage AI to maximally improve the development process Core Requirements: 8+ yrs engineering experience, incl. 3+ yrs leading teams in high-growth B2B-SaaS companiesFluency in our stack (React/Next.js, Python/FastAPI, Postgres, Redis, Docker/K8s)Proven record of scaling systems to thousands of concurrent users and introducing observabilityDeep, applied expertise in building sophisticated products on top of modern AI APIs (RAG, eval frameworks, agents, etc.)Significant personal use of AI for development (Cursor, Replit, Windsurf, Claude Code, etc.) and ability to reimagine end-to-end systems with AISignificant startup experienceEngineering degree, ideally from a top institution Nice to Have: Legal or LegalTech experienceStrong DevOps skills on Azure (or AWS/GCP with quick ramp‑up)

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Shield AI builds the world’s best AI pilot. Our Hivemind Enterprise software stack brings true autonomy to air, land, and sea systems, giving operators the decisive edge. As a Sales Engineer, you’ll be the technical linchpin in our customer-facing pursuits — partnering with Business Development to prove, prototype, and integrate Hivemind into next-generation unmanned platforms across defense and commercial markets.

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Shield AI builds the world’s best AI pilot. Our Hivemind Enterprise software stack brings true autonomy to air, land, and sea systems, giving operators the decisive edge. As a Sales Engineer, you’ll be the technical linchpin in our customer-facing pursuits — partnering with Business Development to prove, prototype, and integrate Hivemind into next-generation unmanned platforms across defense and commercial markets.

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Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for industrial tasks, targeting labor shortages and jobs that are undesirable or unsafe for humans. We are based in San Jose, CA and have operations in Spartanburg, SC. We require 5 days/week in-office collaboration.  As a Humanoid Robot Operator, you'll have the unique opportunity to work directly with our learning humanoid robots and teach them new behaviors and skills. You will be at the forefront of our operations, deploying the robots for real commercial use cases, identifying issues, and relaying these problems to the right engineering teams. You may also collect new data to train our AI systems and work with the AI team to refine behaviors over time. Responsibilities: Be responsible for the humanoid robot operating successfully for the Customer use case  Run the robot constantly throughout the day, identifying bugs and problems Relay these issues to the correct engineering team and ensure these problems are fixed  May wear teleoperation equipment and guide the robot through designated behaviors. Upload collected data to our AI training system. Maintain a safe environment for both yourself and the robot during teleoperation. Follow proper equipment and robot maintenance procedures, including bring-up and shutdown. Requirements: Willingness to own the operations of the humanoid and drive proper functioning of the robot  Excellent communication skills.  Experience working with robots or troubleshooting mechanical systems. Can stand 8+ hours a day and physically manage humanoid hardware Embrace constructive feedback and strive for constant improvement. Thrive in a fast paced environment. Bonus Qualifications: A passion for helping scale the deployment of learning humanoid robots. Excellent physical coordination, spatial awareness, and focus.  Master new physical tasks quickly and find the optimal way to perform them.   The US base salary range for this full-time position is between $35 - $45/hr . The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for a Delivery Excellence Manager (DEM) who will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. DEMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements. You will: Help our customers achieve real business outcomes through the use of AI Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors  Own the end-to-end delivery from kickoff to  go-live thru renewal, ensuring clarity on expectations for all stakeholders  timeline, andServices budget. Create and execute on  joint success plans that drive additional adoption, deepen engagement, and result in measurable business value. Overall program management. Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. Monitor and report on deployment progress, customer adoption, and satisfaction metrics. Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. Guide and document improvements for onboarding processes, playbooks, and best practices. Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: 3-5 years of experience in technical deployment, implementation management, or technical account management of SaaS products. Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as  building consensus around outcomes and success measures. Strong organizational, project management, and communication abilities. Proven experience serving enterprise clients in both strategic, consultative and tactical, hands-on roles. Experience with process documentation, playbooks, and continuous improvement initiatives. Solutions-oriented mindset; trusted advisor with capability to own escalations. Capable of handling ambiguity and thriving in a fast-paced environment. Location:  This role is hybrid (3 days a week in our Nashville office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for a Delivery Excellence Manager (DEM) who will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. DEMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements. You will: Help our customers achieve real business outcomes through the use of AI Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors  Own the end-to-end delivery from kickoff to  go-live thru renewal, ensuring clarity on expectations for all stakeholders  timeline, andServices budget. Create and execute on  joint success plans that drive additional adoption, deepen engagement, and result in measurable business value. Overall program management. Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. Monitor and report on deployment progress, customer adoption, and satisfaction metrics. Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. Guide and document improvements for onboarding processes, playbooks, and best practices. Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: 3-5 years of experience in technical deployment, implementation management, or technical account management of SaaS products. Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as  building consensus around outcomes and success measures. Strong organizational, project management, and communication abilities. Proven experience serving enterprise clients in both strategic, consultative and tactical, hands-on roles. Experience with process documentation, playbooks, and continuous improvement initiatives. Solutions-oriented mindset; trusted advisor with capability to own escalations. Capable of handling ambiguity and thriving in a fast-paced environment. Location:  This role is remote in the US on the East Coast  Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for a Delivery Excellence Manager (DEM) who will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. DEMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements. You will: Help our customers achieve real business outcomes through the use of AI Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors  Own the end-to-end delivery from kickoff to  go-live thru renewal, ensuring clarity on expectations for all stakeholders  timeline, andServices budget. Create and execute on  joint success plans that drive additional adoption, deepen engagement, and result in measurable business value. Overall program management. Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. Monitor and report on deployment progress, customer adoption, and satisfaction metrics. Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. Guide and document improvements for onboarding processes, playbooks, and best practices. Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: 3-5 years of experience in technical deployment, implementation management, or technical account management of SaaS products. Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as  building consensus around outcomes and success measures. Strong organizational, project management, and communication abilities. Proven experience serving enterprise clients in both strategic, consultative and tactical, hands-on roles. Experience with process documentation, playbooks, and continuous improvement initiatives. Solutions-oriented mindset; trusted advisor with capability to own escalations. Capable of handling ambiguity and thriving in a fast-paced environment. Location:  This role is hybrid (3 days a week in our NYC office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona’s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, roamed Disney Parks, and has even been featured on a US postage stamp. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.We're seeking a Software Engineering Intern to join our team in Houston, TX or Pensacola, FL and contribute to the software systems that bring our humanoid robots to life. You'll work on cutting-edge robotics software including perception, locomotion, manipulation, and machine learning systems.Based on team needs, you may work on things such as:Humanoid Locomotion: Develop algorithms for walking, balance, and bipedal movement control systemsPerception Systems: Work on computer vision, sensor fusion, and environmental understanding capabilitiesManipulation Software: Contribute to robotic arm and hand control systems for grasping and dexterous manipulationMachine Learning: Implement learning algorithms, training pipelines, and model optimization for robotic applicationsControl Systems: Develop real-time control software for actuators, sensors, and robot coordinationTesting & Validation: Create automated testing frameworks and validation systems for robot softwareWhat You'll LearnHands-on experience with humanoid robotics software developmentAdvanced robotics algorithms including SLAM, path planning, and control theoryMachine learning applications in robotics and autonomous systemsReal-time software development and embedded systems programmingCollaborative software development in a fast-paced startup environmentQualificationsCurrently pursuing Bachelor's or Master's degree in Computer Science, Robotics, Software Engineering, or related fieldGenuine curiosity and passion for robotics, AI, or autonomous systemsEagerness to learn and tackle complex technical challengesBasic programming experience in any language (Python, C++, Java, etc. from coursework or personal projects)Willingness to dive into new technologies and frameworksStrong problem-solving mindset with persistence when debugging codeCollaborative approach with excellent communication and teamwork abilitiesPreferred ExperienceAny coursework, personal projects, or hackathons involving programming or software developmentBasic exposure to robotics concepts, machine learning, or computer vision (through classes or personal interest)Familiarity with version control systems (Git) or software development practicesPrevious internship, co-op, or project experience in any technical fieldParticipation in coding clubs, programming competitions, or open-source projectsTechnical Areas of InterestPerception: Computer vision, sensor fusion, SLAMLocomotion: Bipedal walking, balance, gait planningManipulation: Arm control, grasping, dexterous manipulationMachine Learning: Reinforcement learning, computer vision, planningSystems: Real-time control, embedded software, robotics middlewareProgram DetailsFall Program: September 1 – November 30Application Deadline: July 15Final Selections by: July 31Location: Houston, TX or Pensacola, FL (onsite)Compensation: Competitive hourly ratePersona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.Location: Houston, TXWhy join Persona AI?You'll shape technology that's redefining the possibilities of robotics and human interaction.Work alongside passionate teammates who value diversity, creativity, and continuous learning.Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.Not sure if you meet all the listed qualifications? That’s okay! We encourage you to apply anyway. Our needs are constantly evolving, and we're always looking for talented individuals who can grow with us. You might be exactly who we’re looking for — even if it’s for a role we haven’t thought of yet. Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.

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AI is the new electricity. It is transforming every aspect of our lives and millions of AI engineers and builders are needed to continue evolving this field. DeepLearning.AI is on a mission to grow and connect the global AI community and empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates. About The Internship:Join us for a 3-month internship where you'll work side-by-side with experienced technical leaders to build 0-to-1 products from scratch. You’ll contribute across the stack, shape core features, and gain firsthand experience in a high-velocity, ambitious environment. We’re looking for someone with strong technical fundamentals and a builder’s mindset—someone who thrives on solving hard problems and wants to make a tangible impact from day one. Exceptional performance during the internship may lead to a full-time offer. What You’ll Do:Build and iterate on early-stage product features across the full stack.Develop responsive, user-friendly frontend interfaces that bring product ideas to life. Implement associated backend systems, including APIs, databases, and third-party integrations.Apply GenAI tools and building blocks—such as prompt engineering, RAG, vector databases, agentic frameworks, and guardrails—to prototype real-world solutions.Write unit and integration tests to ensure code quality and maintainability.Use AI-assisted coding tools (e.g., Cursor, Windsurf, GitHub Copilot) to accelerate development.Collaborate with design, product, and research teams to turn concepts into working features.Gain exposure to CI/CD workflows and participate in deploying features to production.Identify and resolve bugs or performance issues across the stack.Continuously improve our development practices, tools, and team processes.Stay up to date with the latest technologies and trends in fullstack and AI-driven development. What You Must Bring:Strong academic background—currently pursuing or recently graduated with a degree in Computer Science, Engineering, or a related technical field from a top-tier university.Solid understanding of core computer science concepts, including data structures, algorithms, object-oriented programming, and systems design.Demonstrated experience building fullstack applications through personal projects, coursework, hackathons, or open-source contributions.Proficiency in at least one general-purpose programming language (e.g., Python, JavaScript/TypeScript, Java, Go, etc.).Familiarity with web development technologies and frameworks (e.g., React, Next.js, Node.js, Flask, etc.).Curiosity and motivation to explore and apply Generative AI technologies (prompt engineering, RAG, vector DBs, agentic tools).Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Cursor).Excellent problem-solving skills and a builder mindset—you enjoy turning ideas into real products.Clear, thoughtful communicator who thrives in collaborative environments. Nice To Haves:Internship or professional work experience at a top-tier tech company or venture-backed startup.Exposure to cloud platforms (e.g., AWS, GCP) or DevOps tools (e.g., Docker, Kubernetes, CI/CD pipelines).

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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. By joining Findem, you will have the unique opportunity to help define what the future of HR looks like for every business. Why We Need You: We’re building the future of AI-driven sourcing and talent intelligence—and we’re looking for a hands-on, high-impact Staff Quality Assurance Engineer to lead the charge in leveraging AI technologies for development and testing. This individual will bring deep expertise in applying AI and QA processes and will help Findem modernize our testing capabilities. Specifically, by incorporating AI, this role would enable us to scale QA to support more projects and ensure thorough coverage across both existing products and our rapidly expanding portfolio of AI-driven features.

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🎨 OpusClip is the world's No.1 AI video agent for social media.OpusClip is the world's No.1 AI-first video editing tool built for authenticity with no editing skills required. Just 1 click to turn long-form content into viral-ready short clips for social media. Our mission is to effortlessly transform your content into authentic, high-quality videos. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!This position is used for external referrals/ to refer a friend only. (You cannot refer yourself). If you are interested in a role for yourself, please apply to that role directly.We have office locations is Palo Alto, San Francisco, Vancouver and some positions are able to sit remotely. If you are sitting in an office, the RTO requirement is 5 days per week. If your referral is a fit for one of our positions, the TA team will reach out to them directly!EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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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?Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new techniques to accurately measure our models' performance on frontier capabilities. In this role, you are responsible for creating next-generation evaluation methods and scalable infrastructure to measure LLM progress.As a Senior Research Engineer, Model Evaluation, you will:Develop evaluation benchmarks, datasets, and environments for measuring the bleeding edge of model capabilitiesConduct research to push the state-of-the-art in LLM evaluation methods, including training LLM judges; improving evaluation efficiency; and scalably building high-quality datasetsBuild scalable tools for investigating and understanding evaluation results that are used by all members of technical staff at Cohere, as well as leadership and our CEOLearn from and work with the best researchers and engineers in the fieldYou may be a good fit if:You enjoy pushing the limits of what LLMs are capable of, and you have built high-quality evaluation resources to measure those capabilities (datasets, simulators, environments, etc.)You have a track record of developing new methods and/or data to evaluate LLMs, e.g. publications at top-tier conferences, popular benchmarks, etc.You have deep experience building with and around LLMs, and you have built tools for analyzing and understanding their performanceYou have strong software engineering skillsIf 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 AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleWe are seeking a strategic and analytical Business Value Analysis Director to join our Revenue Operations organization. You will own our ROI models, creating compelling business cases interactively with customers to ensure alignment, credibility, and actionable results. Leveraging your deep expertise in healthcare economics, financial modeling, and strategic analysis, you will develop innovative frameworks to quantify and validate benefits realization, clearly demonstrating the measurable value of Abridge solutions.What You’ll DoHealthcare Economics & ROI Modeling: Develop, maintain, and enhance credible, customizable ROI models that clearly illustrate the financial, operational, and clinical value delivered by Abridge solutions.Strategic Commercial Collaboration: Collaborate closely with sales, partner success, and solution teams during client engagements to create customized, collaborative analyses emphasizing cost savings, revenue enhancements, operational efficiencies, and clinical outcomes.Executive-Level Engagement: Directly engage senior healthcare executives—including CFOs, CIOs, CMIOs, Revenue Cycle leaders, and clinical leadership—to clearly communicate strategic economic value, fostering alignment across financial, clinical, operational, and IT stakeholders.Framework Development & Innovation: Create innovative frameworks and methodologies to quantify and validate benefits realization for emerging products, aligned with market trends and strategic objectives, establishing clear benchmarks for performance tracking and validation.Real-Time Reporting & Product Collaboration: Partner with Data Analytics, Product Management, Engineering, and Implementation teams to develop customer-facing, real-time ROI reporting tools, ensuring solutions align with market demands, healthcare economic trends, and value-based care requirements.Internal Education & Enablement: Educate and empower the commercial organization on healthcare economics principles and effective ROI articulation, enhancing both pre-sale decision-making and post-sale customer success activities.What You’ll Bring Extensive experience in healthcare economics, medical economics, financial modeling, and payer dynamics, including CMS and Medicare reimbursement structures.Strong analytical skills to synthesize complex data into clear, persuasive, actionable insights.Exceptional communication skills to effectively engage and influence executive stakeholders.Proven ability to collaborate cross-functionally, building consensus without direct authority.Familiarity with healthcare technologies related to clinician workflows, documentation, revenue cycle management, and operational improvements.Bonus Points IfMaster's degree in economics, health economics, public health, or a related field.Prior experience within healthcare systems, health-tech organizations, healthcare consulting firms, or related analytical roles.Demonstrated success influencing senior-level stakeholders within healthcare finance, clinical operations, revenue cycle management, and technology adoption.This is a hybrid role. To be considered, candidates must be within commutable distance of either one of our Chicago, New York City or SF offices.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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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 the Cohere EPM role? As our Generative Machine Learning (GenML) organization continues to grow and tackle more ambitious ML programs, we are looking for an Engineering Program Manager (EPM) to join the team!At Cohere, EPMs are pivotal to our success, being seen as operational experts specializing in cross-functional efforts. Great EPMs at Cohere are well-rounded, executing with precision at the tactical level, while partnering with senior leaders and shaping the big picture at a strategic level, and the opportunities are endless in growing the scale and impact of their work. Cohere’s EPMs would often be described as organized, execution-oriented, pragmatic, and adaptable to the needs of the company and the programs they lead.As a reward for the depth and breadth of expertize that you bring to the table, you will get to work alongside some of the most talented AI researchers and industry experts in the world on building cutting edge AI technology. No day will be the same as the one before, and the dynamic high growth environment will be absolutely perfect for anyone excited about solving novel problems, bringing structure to oftentimes chaotic and fast-paced environments, and ambitious about scaling their own impact and growth alongside the company!Please note: While we are remote-first and accept candidates from all over the world, we are highly prioritizing hiring for people who are in the Eastern Time (ET) timezone, or 1-2 hours within British Standard Time (BST).As an Engineering Program Manager, you will: Establish, improve, and scale foundational team-level and program-level processes that allow the Generative Modeling teams to execute better and fasterPartner directly with Gen ML modeling leadership & Members of Technical Staff on efforts to design, train and improve our core generative modelsRun cross-functional, oftentimes company-wide programs, collaborating and coordinating with cross-functional teams including Product, Engineering, Legal, Design etc. on delivering generative models on time and within budget & scopeMap out dependencies and risks, and ensure that cross-functional execution across the program runs smoothly, communicating status with non-technical and technical stakeholders and senior managementCoordinate across internal partner teams like Data, Evaluation, Safety, Model Efficiency and Model Serving on cross-team planning and execution to deliver Generative modelsTroubleshoot cross-team challenges and build dependable partnerships both within and outside the Generative ML organizationBoth own and enable a useful communication flow of priorities, ideas, and knowledge throughout all layers of the tech organizationRespond quickly to program-level changes, clarifying new scope and marshaling resources in response to evolving priorities You may be a good fit if you: Have 3-5 years as an Engineering Program Manager or Technical Program Manager AND 2+ years of experience working directly on AI/ML-powered products. Bonus points for working directly on foundation models.Have in-depth knowledge of how machine learning works, particularly when it comes to NLP and Large Language Models (LLMs). Bonus points for experience with Multimodal AI.Have experience with working in a chaotic, fast paced, low structure environment. We need an EPM who is pragmatic, can roll up their sleeves when needed, and can function at the tactical and strategic level to do whatever it takes to make Cohere’s models succeedHave personal hands-on understanding of the unique challenges of managing projects and programs in the AI/ML development space (be prepared for us to ask you about your experiences in this area)(optional, but preferred) Have experience with any ML-adjacent projects and programs, in araeas such as Data & Evaluation, Capacity Planning, Model Serving / Efficiency etc.(optional, but preferred) Have technical experience in a hands-on capacity. We don’t necessarily need someone with hands on experience training models or a former engineer, but you need to feel comfortable sitting in the same rooms with some of the best researchers in the world, working on highly complex, cutting edge ML projects/programsIf 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 the TeamThe Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights—training data, evaluation methods, and techniques—to shape our frontier model development. On the other hand, we leverage these learning to build the science and engineering of impactful frontier model deployment.Put differently, we want to understand: if AGI is viewed as AI being able to majorly transform our economy, how close are we to AGI? What’s still missing? How do we bridge these gaps? About the RoleAs a Research Engineer on the Focused Bets effort in the Strategic Deployment team, you will help OpenAI identify real-world domains that are ripe for transformation through frontier AI capabilities. You’ll act as a technical lead and hands-on builder, partnering with subject matter experts to understand the key aspects of a given domain, pinpointing the most critical tasks in that domain, and developing technical proofs-of-concept that build conviction driving OpenAI’s strategic engagements.We’re looking for people who combine a strong machine learning background with an entrepreneurial mindset—engineers who can thrive in ambiguity, quickly iterate toward the signal, and adapt their approach as new insights emerge. You should be deeply curious about where AI can (and can’t yet) have impact, and excited to push the boundaries of what’s possible.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Drive research and prototyping sprints into specific domains in collaboration with domain experts.Translate real-world tasks into tractable ML/engineering problems and develop proof-of-concept solutions using OpenAI models and tools.Deliver working demos, run in-the-wild evaluations, and distill insights into actionable guidance for OpenAI’s research and deployment teams. You might thrive in this role if you:Care about real-world impact of AI.Are excited to drive how frontier models are developed and deployed.Have hands-on experience in AI research, systems, or applied science.Are excited by startup-style ambiguity and enjoy working across disciplines to drive a project from zero to one.Enjoy working in open-ended problem spaces and high-feedback environments.Are a curious, adaptable generalist who enjoys learning fast, asking deep questions, and solving open-ended problems.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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We are looking for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models through intuitive chat interfaces.Who we are:At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We're looking for innovators passionate about tackling complex challenges and maximising positive global impact. Join us on our moonshot mission.Who You Are:You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture.You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch.You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction.You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes.You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific literature formats, databases (PubMed, arXiv), and academic data processing.What Sets You Apart:You have a research background. You are a former academic researcher who transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience.You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats.You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and publishing processes.You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks.Your Responsibilities:Build autonomous scientific agents that can execute complex research workflows through natural language interaction—from protein structure analysis to experimental design.Architect end-to-end reasoning systems that integrate our platform capabilities with intelligent decision-making, enabling users to accomplish sophisticated tasks through simple chat interfaces.Develop knowledge discovery pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets.Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research-grade articles and blog posts.Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein-based logic gates) and orchestrate their validation.Collaborate with scientists to understand research pain points and translate them into intelligent automation solutions.Publish and evangelise breakthrough applications of agentic workflows in synthetic biology through articles, blog posts, and scientific demonstrations.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.