Top Research Scientist Jobs Openings in 2025

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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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We are seeking Ph.D.-level astrophysicists to collaborate with AI researchs and contribute to the development of next-generation intelligent systems. This role offers the chance to apply your expertise in fields such as cosmology, stellar physics, exoplanets, plasma dynamics, or computational astrophysics to train advanced AI models capable of reasoning through complex scientific phenomena. You'll work alongside AI teams to teach models how astrophysicists analyze data, build theories, interpret observations, and explain cosmic-scale systems, enhancing AI’s ability to support science education, discovery, and simulation. Qualifications:- +5 years of research and academic experience in fields such as stellar physics, planetary science, cosmology, gravitational lensing, etc.- Hold a Ph.D. in Astrophysics, Astronomy, or a related field - Possess strong verbal and written communication skills.- Exhibit strong attention to detail. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:We’re seeking an exceptional AI Research Scientist to help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation. You’ll be leading projects that develop agentic AI systems designed to solve real-world mechanical, electrical, and aerospace engineering problems—systems that think, remember, act, and adapt.This is not a “pure research” position: we’re looking for a hacker-scientist hybrid—someone who’s published in top venues but is not afraid of any layer in the tech stack.What You’ll Do:Design and implement agentic systems that autonomously solve physical engineering tasks.Develop advanced memory, retrieval, and planning architectures for LLM-based agents.Apply (or invent) reinforcement learning strategies for reasoning, planning, and online adaptation.Contribute to both research strategy and technical implementation—this is a hands-on role.Collaborate with a small, elite team of researchers and engineers across domains.Stay on the edge of what’s possible and bring promising ideas into reality.About you:Have experience at the frontier of AI research (e.g., LLMs, RL, memory systems, agent architectures).Are passionate about applied problems—especially in mechanical, aerospace, or electrical engineering domains.Are fluent in Python and major ML/AI frameworks (PyTorch, JAX, etc.).Thrive in fast-moving environments and feel comfortable working towards underspecified goals.Have a “whatever it takes” mindset: you’re the kind of person who makes things work.Can go from whiteboard to working prototype without waiting for someone else to “engineer” it. Preferred Qualifications:PhD in Computer Science, Robotics, Engineering, Math, or a related technical field (or equivalent experience).Relevant publications in top-tier venues of your field.Experience with physical engineering domains a plus.Familiarity with agent tool-use, retrieval-augmented generation, or long-term memory systems.Deep knowledge of reinforcement learning algorithms and practical challenges.Interview process:Initial screening - Head of Talent (30 mins)Hiring manager interview - Head of AI (45 mins)Technical Interview - AI Chief Scientist (45 mins)Culture fit / Q&A (maybe in person) - with co-founder & CEO (45 mins)

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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We’re seeking Research Scientists to join our Handshake AI Research team, where you’ll conduct pioneering research that pushes the boundaries of LLM understanding and evaluation. You’ll work at the frontiers of model comprehension, advanced evaluation methodologies, and the intersection of human and AI knowledge systems, with the goal of building the future of how we understand and measure AI capabilities.As a Research Scientist, you’ll collaborate closely with engineers and cross-functional teams to transform fundamental insights into breakthrough evaluation frameworks and understanding paradigms. Whether you’re developing novel approaches to probe model understanding, creating sophisticated benchmarks that reveal emergent capabilities, or establishing new methodologies for measuring AI-human knowledge alignment; you’ll help define how we comprehend and assess the next generation of AI systems.Location: San Francisco or New York CityYour roleDesign and conduct original research in LLM understanding, evaluation methodologies, and the dynamics of human-AI knowledge interactionDevelop novel evaluation frameworks and assessment techniques that reveal deep insights into model capabilities and limitationsCollaborate with engineers to transform research breakthroughs into scalable benchmarks and evaluation systemsPioneer new approaches to measuring model understanding, reasoning capabilities, and alignment with human knowledgeWrite high-quality code to support large-scale experimentation, evaluation, and knowledge assessment workflowsPublish findings in top-tier conferences and contribute to advancing the field’s understanding of AI capabilitiesWork with cross-functional teams to establish new standards for responsible AI evaluation and knowledge alignmentYour experiencePhD or equivalent research experience in machine learning, computer science, cognitive science, or a related field with focus on AI evaluation or understandingStrong background in LLM research, model evaluation methodologies, interpretability, or foundational AI assessment techniquesDemonstrated ability to independently lead post training and evaluation research projects from theoretical framework to empirical validationProficiency in Python and deep experience with PyTorch for large-scale model analysis and evaluationExperience designing and conducting experiments with large language models, benchmark development, or systematic model assessmentStrong publication record in post training, AI evaluation, model understanding, interpretability, or related areas that advance our comprehension of AI capabilitiesAbility to clearly communicate complex insights about model behavior, evaluation methodologies, and their implications for AI developmentNice to HaveExperience with RL, agent modeling, or AI alignmentFamiliarity with data-centric AI approaches, synthetic data generation, or human-in-the-loop systemsUnderstanding of the challenges in scaling foundation models (e.g., training stability, safety, inference efficiency)Contributions to open-source AI libraries or research toolingInterest in shaping the societal impact, deployment ethics, and governance of frontier modelsWhy Join UsThis is a rare opportunity to help define how the world’s top labs build, test, and evaluate cutting-edge AI systems. You’ll be working with a uniquely high-talent team, tapping into a network of 18 million students and 500K+ PhDs, and shaping foundational infrastructure at a critical moment in the field. If you're excited to build from first principles—and want your work to directly accelerate frontier AI—we'd love to talk.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 5x a week in office.🏋️ Free gym access in San Francisco office building.🤝 Referral bonus to reward you when you bring great talent to Handshake.🧗🏼Team outings throughout the year to stay connected to each other.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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We are seeking a Senior Research Associate to join our team working at the interface of generative AI and biology. The ideal candidate is experienced in molecular biology, biochemistry, mammalian cell culture, and high-throughput screening methods. You will work both collaboratively and independently with teammates to develop and execute screening assays to functionally test and characterize novel proteins designed using our proprietary models .This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. This role requires strong technical capability, adaptability, organizational and communication skills, as well as ability to work independently and collaboratively in a dynamic team-oriented environment. Who You Are:You are a skilled experimental biologist. You have a Bachelor’s degree in molecular/cell biology, biochemistry, or a related field with two years of industry or academic research experience in the above field(s); or Master’s degree in molecular/cell biology, biochemistry, or a related fieldYou have experience with assay development. You have at least one year of experience scoping, developing, and running experimental assays to answer scientific questions (e.g. yeast or mammalian display to study protein-protein interactions). You are able to work with assays in a variety of systems and organisms (e.g. mammalian cell lines, yeast, bacterial, phage, or in vitro) and can independently execute and troubleshoot experimentsYou have experience with high throughput workflows. You have experience with cell-based assays, molecular cloning, flow cytometry/FACS, and/or next-generation sequencing in biotechnology industry settings. You have experience with high-throughput biology methods as well as laboratory automation.You are used to managing large amounts of data. You have experience using and improving LIMS, Benchling or similar tools, to manage samples and data from high-throughput experimentsYou have strong scientific communication skills. You have experience successfully working as part of a cross-functional collaborative scientific team and you have strong scientific communication skills.You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are interested in new and innovative ways to engineer biology while leveraging existing knowledge and expertise.You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye with high attention-to-detail for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software.What Sets You Apart (preferred but not required):You are a data scientist. Proficiency with data analysis and handling using R, JMP, SQL, and other software tools such as python and python notebooks.You’ve worked in a young biotech before. You have worked in startups and helped the company set up new workflows and processesYou have experience with developing and testing antibodies or nanobodiesYou have experience in research-scale protein production (preferably in high throughput) and are proficient with biophysical assays such as BLI or SPR.Your Responsibilities:High-throughput assay development and execution :Help develop and execute high-throughput functional assays, cell culture, and molecular biology and biochemistry workflows to characterize and validate novel protein designsScope and integrate high-throughput wet- and dry-lab tools into experimental workflowsContribute to development and improvement of high-throughput screening platformDetailed, accurate, and timely documentation of experimental procedures and parameters and handoff of data and analysis results to stakeholdersRegular communications of experimental outcomes and analysis results to team members and stakeholdersSelf development:Stay on top of relevant developments in synthetic biologyContinue building your understanding of generative AI as well as expanded areas of protein and cell biologyParticipate in knowledge sharing, e.g. organize and present at our internal reading group.Attend and present at conferences when relevant.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Travel 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.

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv We’re looking for a Sr. Applied Research Scientist to lead efforts in applying reinforcement learning based techniques to improve the quality and controllability of the models that power Runway’s research and tools. This role is for someone who has a strong background building impactful and novel machine learning projects, has strong software engineering skills, and is deeply interested in seeing their research materialize in novel user interfaces for creative tasks. What you’ll need 4+ years of relevant engineering or research experience in applying reinforcement learning to align language, image, and/or video generation models Very strong programming skills and ability to write clean and maintainable research code Deep interest in building human-in-the-loop systems for creativity Passion for seeing research through from initial conception to eventual application Experience mentoring and teaching other researchers Strong communication, collaboration, and documentation skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $280,000-$380,000 Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Runway Research Runway's AI Film Festival Creative Dialogues Series Runway Studios Our Behaviors and Company Mission   We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv We’re looking for a Sr. Applied Research Scientist to lead efforts in pretraining the next generation of Runway’s multimodal models. This role is for someone who has a strong background building impactful and novel machine learning projects, has strong software engineering skills, and is deeply interested in seeing their research materialize in novel user interfaces for creative tasks. What you’ll need 4+ years of relevant ML engineering or research experience Very strong programming skills and ability to write clean and maintainable research code Deep interest in building human-in-the-loop systems for creativity Passion for seeing research through from initial conception to eventual application Experience mentoring and teaching other researchers Strong communication, collaboration, and documentation skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $280,000-$380,000 Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Runway Research Runway's AI Film Festival Creative Dialogues Series Runway Studios Our Behaviors and Company Mission   We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv We’re looking for a Sr. Applied Research Scientist to lead efforts in building large language models and vision language models that power Runway’s research and tools, with a focus on multimodal capabilities and reasoning. This role is for someone who has a strong background building impactful and novel machine learning projects, has strong software engineering skills, and is deeply interested in seeing their research materialize in novel user interfaces for creative tasks. What you’ll need 4+ years of relevant ML engineering or research experience in language models Very strong programming skills and ability to write clean and maintainable research code Deep interest in building human-in-the-loop systems for creativity Passion for seeing research through from initial conception to eventual application Experience mentoring and teaching other researchers Strong communication, collaboration, and documentation skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $280,000-$380,000 Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Runway Research Runway's AI Film Festival Creative Dialogues Series Runway Studios Our Behaviors and Company Mission   We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Research team at Decagon innovates on building the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleOn the Research team, you’ll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. You will design and implement state of the art methods for instruction tuning and information retrieval. We're looking for people with strong engineering skills, writing bug-free machine learning code, and building the science behind the algorithms that power our AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.In this role, you willDevelop models for customer support tasks that exceed the performance of closed source modelsExperiment with small open-source models to drive order of magnitude reductions in latency across channelsBreak down ambiguous research ideas into clear, iterative milestones and roadmaps.Your background looks something like this3+ years of experience in AI/ML engineering or research.Proven track record of working on AI/ML projects from concept to production.Experience fine-tuning and deploying LLMs in production environments.Prior experience working with multi-modal modelsBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$250K – $415K + Offers Equity

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About the TeamThe RL team drives the core reasoning paradigm and has created groundbreaking innovations such as o1 and o3. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will advance the frontier of AI alignment and capabilities through cutting-edge RL methods. Your work will sit at the heart of training intelligent, aligned, and general-purpose agents, including the systems that power various models.We’re looking for people who have a background in reinforcement learning research, are able to iterate quickly, and are proficient at coding.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.You might thrive in this role if: You love being on the cutting edge of RL and language model research.You’re a self-starter who takes initiative and ownership of ideas, driving them to completion.You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time.You thrive in a fast-paced, dynamic, and technically complex environment where rapid iteration is key.You’re comfortable diving into a large ML codebase to debug and improve it.You have a deep understanding of machine learning and machine learning applications.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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About Somite.aiSomite.ai is a well-funded, venture-backed company transforming stem cell biology with AI.  We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million. Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies. Our platform, DeltaStem, accelerates therapy creation and continually improves through data-driven insights.Founded by Dr. Micha Breakstone, a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.Location: Boston Click 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:As a Senior Computational Biologist, you will play a key role in creating pipelines, models and performing research over large scale single cell datasets. This role is ideal for someone who is passionate about large-scale transcriptomic data that will be used to create groundbreaking cell replacement technologies. You will work at the intersection of developmental biological research, data science, and software development, contributing to single-cell and spatial transcriptomics analysis, translating scientific discoveries into cutting edge cell replacement therapies. Responsibilities:Drive new research directions at the interface of bioinformatics and AI-powered stem cell biology.Develop and optimize computational biology pipelines for preprocessing, analysis, modeling and interpretation of high-dimensional transcriptomic data.Stay at the forefront of computational biology, keeping up with state-of-the-art techniques in developmental biology, single-cell multi-modal analysis and spatial transcriptomics.Operate autonomously in a fast-moving startup, helping shape Somite’s computational biology roadmap.Mentor and provide technical guidance to team members, fostering collaboration and knowledge sharing across disciplines.Collaborate closely with other computational biologists, machine learning researchers, and software engineers to build robust, scalable solutions.Qualifications:PhD in Computational Biology, Bioinformatics, Computer Science, or a related field3+ years of experience analyzing large-scale genomic and transcriptomic datasets, such as single cell RNA-seq and spatial omics. Solid computational and statistical skills, with demonstrated experience in high-dimensional biological data analysisStrong programming skills and experience developing robust products, preferably in PythonPassion for data-driven biology and its potential to transform healthcare.Preferred Qualifications:Strong domain knowledge in developmental biology or stem cell research (highly advantageous)2+ years of experience in non-academic industry setting Prior experience in a startup or fast-paced environmentExperience in machine learning, and and developing models over biological data Strong publication record in top journals Benefits:Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions.Work alongside a talented and passionate team at the forefront of AI and cellular biology.Contribute to the development of groundbreaking therapies that address significant unmet medical needs.Enjoy a competitive salary and benefits package, including flexible work options.Click this link to Apply: https://jobs.ashbyhq.com/somite-ai?utm_source=LinkedIn+Manual+PostingExceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.Join us and help us unlock the full potential of AI for the benefit of human health

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We are seeking a Head of AI Protein Design to join our team working at the interface of generative AI and protein design. You will play a key role in shaping our scientific strategy, conceiving of and delivering on protein design campaigns as part of AI model validation and customer facing projects, whilst leading a team of computational protein designers.This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. Using your blend of computational expertise, in-depth biochemical and structural understanding of proteins as well as cutting edge experimental techniques, you will drive our real world validation and application efforts to design for and optimize proteins. You will closely collaborate with our Frontier AI Models unit and our Experimental Platform unit.Who you areYou are a computational protein designer. You have a proven track record of successfully leveraging novel computational tools and your knowledge of biochemistry or structural biology to run large protein design campaigns You are routinely using computational metrics at scale in order to score designed proteins and derive insights from experimental results.You have deep experience with generative AI. You have deep hands-on experience using state of the art machine learning tools such as AlphaFold, RFdiffusion, ProteinMPNN or similar models. Combined with your ability to build and train machine learning models from scratch, you are able to extend those models and tune them as required.You seek applied impact. You have a deep understanding of the practical requirements in drug discovery, such as the functional characteristics required of biologics. Combined with your knowledge of generative models you are able to devise protein design campaigns that aim for maximum applied impact.You are a successful scientist. You have a PhD (or equivalent industry experience) in artificial intelligence, computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, or a related field. Your research experience was in protein design using computational expertise.You are an owner. You have a proven track record of delivering successful commercial and / or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes, as well as other contributions to the scientific community.You are a leader. You are a trusted leader who loves to inspire people and enable them to perform at their highest levels. You have managed interdisciplinary teams before, and have excellent communication and presentation skills, with the ability to convey complex scientific concepts to both technical and non-technical audiences.You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies.You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software.What sets you apart (preferred but not required)You have a background in industry, such as experience working on R&D programs in pharma, in the areas of Biologics (e.g. antibodies).You have deep experience with multiple design applications, such as antibodies and enzymes.You have helped scale a young biotech before. You have worked in startups and helped the company grow.Your ResponsibilitiesDefine and implement a roadmap of proof-of-concept strategies that will enable commercial business objectives:Based on industry experience and deep scientific insight, propose experimental validation projects for testing our AI models.Set objectives for protein design campaigns to support proof-of-concept projects and internal business objectives .Help to develop the protein design platform & partnerships:Together with the CEO and Head of Business Development, shape the portfolio of capabilities for the company’s protein design platform, helping to prioritize new areas and domains.Collaborate closely with our Head of Business Development to cultivate strong, enduring relationships with our initial partners, ensuring their ongoing satisfaction and success.Proactively seek opportunities to expand and deepen our relationships with new or existing partners, identifying areas for growth and collaboration.Lead and develop a high-performing computational protein design team:Create a thriving team culture: Use your leadership skills to build a collaborative, innovative, and high-morale environment and proactively seek opportunities to ensure alignment and open communication within the team and across other departments.Recruit and retain top talent: Attract exceptional computational protein design talent, and nurture their professional development.Leverage our proprietary generative AI models to design proteins for experimental validation:Analyze protein design problems based on functional requirements, biochemistry, structural biology and sequence homology.Generate designs using our proprietary generative AI models and optimize designs for experimental validation.Coordinate with our machine learning scientists and our lab-based protein engineers to plan and optimize the design process and validation strategy.Leverage our proprietary data to improve our models:Analyze and leverage our experimental results to improve the next round of designs and increase our success rate over validation rounds.Collaborate with machine learning scientists to finetune and prompt our models.Collaboration and communication:Be an effective interface between machine learning model development and experimental validation.Analyze, interpret, and present findings to internal and external stakeholders, guiding strategic decision-making.Foster a collaborative and innovative environment, proactively finding opportunities to innovate and create clarity and alignment between different units.Contribute to our internal computational tools:Help to pioneer our research, by improving the way we use, serve and integrate our AI models.Contribute to bespoke software and ML tools, such as for bioinformatics analysis, primer design, plate management, tracking and normalization, calibration of equipment etc.Help improve our data management systems and workflows.Scientific excellence and self development:Work to the highest scientific standards (publication-grade work).Stay on top of relevant developments in synthetic biology.Continue building your understanding of generative AI as well as expanded areas of protein and cell biology.Participate in knowledge sharing, e.g. organize and present at our internal reading group.Attend and present at conferences when relevant.ApplyWe 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.

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We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays.Who you areYou are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling.You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production code. You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators.You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and scale.You are passionate about model performance. You have an intricate understanding of how ML libraries interplay with hardware and data and love to optimize deep learning models for training / inference speed. You have a deep knowledge of best principles and tricks in architecting deep learning models and use it to optimize how they perform on validation metrics.You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear. You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently.What sets you apartYou have experience in computational biology or protein design. You have worked on ML-driven projects in biology.You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields.Your ResponsibilitiesBuild machine learning models that work in the physical world [~90% of your time]:Contribute to a careful curation of our training and evaluation data.Propose and build ML evaluation metrics that align with real world success and company goals.Quickly prototype generative models against our lead metrics and perform deep analyses of improvements.Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.Contribute to the maintenance of our compute and ML development infrastructure.In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab.Quickly learn from wet lab results and feedback data to our models.Self development [~10% of your time]:Stay on top of the latest developments in ML.Gain a strong working understanding of protein and cell biology.Participate in knowledge sharing, e.g. organize and present at our internal reading group.Attend and present at conferences.ApplyWe 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.