Multimodal AI Safety Policy Lead

Society for AI Security; San Francisco (CA); Hybrid; USD 150,000 - 230,000; Full time

Job summary

OpenAI is seeking a Model Policy Manager in San Francisco to focus on the safety of multimodal models such as GPT-Live and ChatGPT Images. You will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models, and work across product teams to implement behavioral safety policies.

The role is based in San Francisco, CA with a hybrid work model (3 days in office) and relocation assistance for new hires.

Qualifications

• Experience turning ambiguous safety questions into clear data-driven policies and measurable evaluation criteria.
• Strong judgment about real-world risks of advanced multimodal AI systems.
• Hands-on with model data and evaluation results, inspecting examples and failure patterns.
• Policy should be treated as an end-to-end measurable system, with governance across data, graders, and safeguards.

Responsibilities

• Design and maintain model policies for audio, image, video, and omni-modal behavior.
• Translate theories of harm into behavioral safety policies, evaluation criteria, grading guidance, and safeguards.
• Identify and analyze safety regressions and failure patterns to inform policy iteration.
• Develop policy artifacts supporting training, evaluation, and deployment, including behavior instructions and golden sets.
• Partner with AI researchers and product teams to operationalize policy into measurable model behavior.

Job description

OpenAI is seeking a Model Policy Manager in San Francisco to focus on the safety of multimodal models such as GPT-Live and ChatGPT Images. You will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models, and work across product teams to implement behavioral safety policies.

The role is based in San Francisco, CA with a hybrid work model (3 days in office) and relocation assistance for new hires.