Research Scientist, Mathematical Sciences

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 learnings to build the science and engineering of impactful frontier model deployment.As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster.About the RoleAs a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research—in fields such as mathematics, theoretical physics, and theoretical computer science—forward. You’ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact.We’re looking for people who…Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related fieldRegularly use frontier models in their own researchMove easily between theory and code, and are eager to contribute technically as well as academicallyEither know or are eager to learn modern AI and run AI experiments end-to-endAre strong scientific communicatorsCare about rigor and reproducibility in scientific resultsThis 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 willAssist in designing and building frontier AI models that are great at solving frontier mathematical sciences problemsBuild high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based)Design reinforcement and grading signals for mathematical sciences and run reinforcement learning/optimization loops to improve model reasoningDefine and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over timePartner with research labs and the academic communityDrive adoption of frontier AI within the scientific communityUphold high standards for safety, data governance, and reproducibilityYou might thrive in this role if youAre passionate about pushing the boundaries of your field using AIHave used ChatGPT to do calculations and prove or improve lemmas in your field of studyCommunicate clearly to both scientists and AI engineers; you like collaborating across teams and with academiaNice to haveOpen-source contributions to mathematical science or AI toolingExperience building or curating domain datasets and benchmarksExperience engaging a research community (teaching, workshops, tutorials, standards)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.Background checks for applicants will be administered in ... (truncated, view full listing at source)