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.
AI @ 3
Security @ 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
Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, including system-level safeguards, model training, evaluation, and red-teaming. The Model Policy team designs policies that help frontier models behave safely and reliably in real-world environments.
The role focuses on shaping model behavior for U.S. government use, particularly national security applications. The successful candidate will define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities.
Responsibilities
- Develop model policies that guide safe and useful behavior.
- Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training.
- Work with research, engineering, and domain experts to support safe, reliable deployment.
Requirements
- Relevant experience in AI safety, policy, or risk assessment.
- Strong judgment and the ability to turn complex safety questions into clear, practical policies.
- Technical fluency and the ability to work hands-on with model data and evaluations.
- Motivation to support the responsible use of AI in safety-critical settings.
- An active TS/SCI clearance or equivalent may be beneficial. The security requirements state that an active TS/SCI clearance or equivalent is preferred but not required.
Benefits
- Equity, performance-related bonuses for eligible employees, and benefits in addition to the base salary.
- 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, paid company holidays, office closures, and sick or safe time.
- 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, including charitable donation matching and wellness stipends, may also be provided.
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