Research Engineer / Research Scientist – Personal AGI, Personality and Model Behavior
at OpenAI
USD 295,000-555,000 per year
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
Machine Learning @ 6
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 Personality & Model Behavior team, within OpenAI's broader Personal AGI team, conducts research on shaping personalities and guiding model behavior. The team focuses on emotional intelligence, reasoning, thoughtful user interactions, personalization, and creating models tailored to individual users. This research is integrated into ChatGPT and other OpenAI products.
Responsibilities
- Conduct research on personalization, personality, and model behavior using and developing tools such as synthetic data, reward modeling, and reinforcement learning.
- Build robust evaluations and model training pipelines to support research.
- Innovate new post-training methods.
- Debug issues in large machine learning codebases.
- Deliver innovative solutions to real-world technical constraints.
Requirements
- Strong machine learning engineering skills and research experience, particularly with novel and highly capable models.
- Experience or knowledge in areas such as reinforcement learning and reward modeling.
- Deep understanding of machine learning and its applications.
- Knowledge of training and optimizing models and building evaluations.
- Ability to work in dynamic and technically complex environments.
- Passion for product-driven research.
Benefits
- Equity and performance-related bonuses for eligible employees.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for health, dependent care, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, and office closures.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends.
The role is based in San Francisco, California, and follows a hybrid work model requiring three days in the office per week.
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