Multimodal Safety Policy Lead

OpenAI

San Francisco (CA)

Hybrid

USD 266,000 - 335,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work model
Relocation assistance

Job summary

OpenAI is hiring a Model Policy Manager to focus on the safety of multimodal models, shaping how OpenAI identifies, evaluates, and addresses risks in multimodal AI models such as GPT-Live and ChatGPT Images. The role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week and relocation assistance for new employees.

You will design model policies for audio, image, video, and omni-modal behavior, translate harm theories into actionable safety policies, and

Qualifications

  • Strong judgment about real-world risks of multimodal AI systems.
  • Ability to turn ambiguous safety questions into clear data-driven policies.
  • Experience turning policy into measurable evaluation criteria.

Responsibilities

  • Design and maintain model policies for audio, image, video, and omni-modal behavior.
  • Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards.
  • Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration.
  • Develop policy artifacts that support model training, evaluation, and deployment, including behavior instructions, human-data campaigns, golden sets, and evaluations.
  • Partner with AI researchers, domain experts, and product teams to operationalize policy into measurable model behavior.

Job description

OpenAI is hiring a Model Policy Manager to focus on the safety of multimodal models, shaping how OpenAI identifies, evaluates, and addresses risks in multimodal AI models such as GPT-Live and ChatGPT Images. The role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week and relocation assistance for new employees.

You will design model policies for audio, image, video, and omni-modal behavior, translate harm theories into actionable safety policies, and

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