Research Engineer / Research Scientist - Personal AGI, Memory
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
ChatGPT
Debugging @ 3
Machine Learning @ 3
Reinforcement Learning @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Personalization-Memory team, within OpenAI's broader Personal AGI organization, develops agents that learn from prior interactions to become more helpful and efficient over time. The team builds general-purpose memory and personalization capabilities for ChatGPT and other agentic products, collaborating with applied engineering on product surfaces that enable users to interact with memory.
The role spans memory architecture, post-training, and the development of long-horizon tasks for training and evaluations. It is suited to individuals with a background in reinforcement learning research who can iterate quickly and translate rigorous, long-term research into product impact.
Responsibilities
- Own and pursue a research agenda for improving long-horizon memory and personalization in frontier models.
- Build robust evaluations for tracking modeling improvements.
- Design, implement, test, and debug code across the research stack.
- Collaborate closely with research and product teams to influence the shape of technical solutions in the product.
Requirements
- Background in reinforcement learning research.
- Interest in cutting-edge reinforcement learning and frontier model research.
- Commitment to principled approaches and research craftsmanship.
- Passion for long-horizon tasks, memory, and translating research into product impact.
- Comfort working in and debugging a large machine learning codebase.
- Ability to thrive in a fast-paced, dynamic, and technically complex environment.
Work Arrangement
- Based in San Francisco, California.
- Hybrid work model with three days in the office per week.
Benefits
- Medical, dental, and vision insurance for employees and families, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental leave, medical leave, and caregiver leave.
- Paid time off, paid company holidays, office closures, and paid sick or safe time as required by applicable law.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily meals in offices and eligible meal delivery credits.
- Relocation support for eligible employees.
- Equity and performance-related bonuses for eligible employees.
OpenAI is an equal opportunity employer committed to reasonable accommodations and fair consideration of applicants in accordance with applicable law.