Research Scientist, Mathematical Sciences
Job Description
- Passion for pushing the boundaries of your field using AI
- Experience using ChatGPT to do calculations and prove or improve lemmas in your field of study
- Clear communication to both scientists and AI engineers
- Collaboration across teams and with academia
- Open-source contributions to mathematical science or AI tooling
- Experience building or curating domain datasets and benchmarks
- Experience engaging a research community (teaching, workshops, tutorials, standards)
- Current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field
- Regularly use frontier models in their own research
- Ability to move easily between theory and code
- Eagerness to contribute technically and academically
- Knowledge of or eagerness to learn modern AI and run AI experiments end-to-end
- Strong scientific communication skills
- Care for rigor and reproducibility in scientific results
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge
- Paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
About the Team
The 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 Role
As 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 field
- Regularly use frontier models in their own research
- Move easily between theory and code, and are eager to contribute technically as well as academically
- Either know or are eager to learn modern AI and run AI experiments end-to-end
- Are strong scientific communicators
- Care about rigor and reproducibility in scientific results
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
- Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems
- Build 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 reasoning
- Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time
- Partner with research labs and the academic community
- Drive adoption of frontier AI within the scientific community
- Uphold high standards for safety, data governance, and reproducibility
You might thrive in this role if you
- Are passionate about pushing the boundaries of your field using AI
- Have used ChatGPT to do calculations and prove or improve lemmas in your field of study
- Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia
Nice to have
- Open-source contributions to mathematical science or AI tooling
- Experience building or curating domain datasets and benchmarks
- Experience engaging a research community (teaching, workshops, tutorials, standards)
