Model Policy Manager

Openai
San Francisco, CA
Hybrid

Who this role is best for

Best suited to candidates with biosecurity or chemical expertise working in AI safety research, who are comfortable with high-stakes, ambiguous problem spaces and can navigate hybrid work arrangements in San Francisco.

Best fit for

  • Candidates with biosecurity or chemical expertise and a background in AI safety research
    — “the intersection of biosecurity expertise, AI safety research, and policy design
  • Individuals experienced in defining and enforcing policies for ML models across training and evaluation
    — “extensive experience defining, refining and enforcing policies for ML models across training, evaluation, and deployment
  • Candidates who can balance risk reduction with scientific innovation in ambiguous domains
    — “comfortable navigating ambiguous, high-stakes problem spaces, balancing risk reduction with the benefits of scientific openness and innovation

Things to consider

  • Requires 3 days per week in-office work in San Francisco, with no mention of remote flexibility beyond that
    — “hybrid work model of 3 days in the office per week
  • Candidates must be prepared to engage with both internal and external subject-matter experts regularly
    — “Engage with internal and external subject-matter experts in biosecurity, biodefense, and chemical safety

How to stand out

  • Highlight experience in translating scientific expertise into operational policy frameworks
    — “Translate biosecurity and chemical security expertise into actionable model behavior
  • Emphasize work on dual-use science and catastrophic risk in your resume and interviews
    — “Providing access to frontier AI systems raises complex questions around dual-use science and catastrophic risk
  • Showcase your ability to develop taxonomies that inform AI training and evaluation systems
    — “Develop structured taxonomies of chemical and biological risk that inform model training data, evaluation benchmarks, and safety monitoring systems
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and maintain model policies
  • develop structured taxonomies
Typical background
strong domain expertise in chemistry, biology, biosecurity

Skills & requirements

Required

AI PolicyBiosecurityAI Safety

Preferred

LlmsAI Research

Stack & domain

AI SafetyLlmsPromptingRetrievalAgent FrameworksBiosecurityChemical SecurityAI Safety ResearchPolicy DesignModel Training DataEvaluation BenchmarksSafety Monitoring SystemsBiosecurity And Chemical Security ExpertisePolicy EnforcementClassification ProblemsML ModelsAI PolicyMoral ReasoningCommunicationCollaborationProblem-solvingTeamworkLeadershipOwnershipGrowthLearningAIMLModel TrainingSafety MonitoringBiosecurity And Chemical Security

About the role

Original posting from Openai via Ashby

About the Team

The Safety Systems https://openai.com/safety/safety-systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

The Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety.

About the Role

Providing access to frontier AI systems raises complex questions around dual-use science and catastrophic risk. How should models respond to requests involving chemical synthesis, biological experimentation, or pathogen research? Where is the boundary between legitimate scientific inquiry and information that could enable misuse? How do we design policies that meaningfully reduce risk without unnecessarily restricting beneficial research?

This is a senior role in which you’ll help shape policy creation and development at OpenAI for addressing biological and chemical risks. You will develop structured policy frameworks and taxonomies to guide safe model behavior. This role sits at the intersection of biosecurity expertise, AI safety research, and policy design. You will help ensure that frontier AI systems can support beneficial life sciences research, such as drug discovery, public health, and biosafety, while reducing the risk that these capabilities could be misused.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

  • Design and maintain model policies governing chemical and biological risk, defining how models should safely handle dual-use scenarios.
  • Develop structured taxonomies of chemical and biological risk that inform model training data, evaluation benchmarks, and safety monitoring systems.
  • Translate biosecurity and chemical security expertise into actionable model behavior, working closely with research and engineering teams to operationalize policy in training and evaluation pipelines.
  • Develop a broad range of subject matter expertise while maintaining agility across topics.
  • Identify emerging risk vectors where frontier AI capabilities could meaningfully lower barriers to harmful activity and develop mitigation strategies.
  • Engage with internal and external subject-matter experts in biosecurity, biodefense, and chemical safety to ensure policies reflect real-world risk landscapes.

You might thrive in this role if you:

  • Have strong domain expertise in chemistry, biology, biosecurity, or related fields and are motivated to translate that expertise into principled, operational policies that scale to Frontier AI systems.
  • Have experience researching LLMs, ML, AI, tech policy, moral reasoning, and/or enjoy classification problems.
  • Have extensive experience defining, refining and enforcing policies for ML models across training, evaluation, and deployment.
  • Are comfortable navigating ambiguous, high-stakes problem spaces, balancing risk reduction with the benefits of scientific openness and innovation.
  • Can reason about the benefits and risks of open-ended problem spaces, generate novel approaches under ambiguity, and take full ownership of end-to-end solutions from concept through execution.
  • Have experience working at the intersection of science, policy, or emerging technology, such as in life sciences research, national security, risk analysis, technology policy, or AI safety.

Most relevant publications:

  • Introducing HealthBench https://openai.com/index/healthbench/
  • Preparing for future AI capabilities in biology https://openai.com/index/preparing-for-future-ai-capabilities-in-biology/
  • Safety evaluations hub https://openai.com/safety/evaluations-hub/
  • OpenAI GPT5 System Card https://openai.com/index/gpt-5-system-card/
  • Evaluating Fairness in ChatGPT https://openai.com/index/evaluating-fairness-in-chatgpt/
  • Improving Model Safety Behavior with Rule-Based Rewards https://openai.com/index/improving-model-safety-behavior-with-rule-based-rewards/
  • OpenAI Model Spec https://openai.com/index/introducing-the-model-spec/

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Source: Openai careers (Ashby)

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