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Data Scientist, SafetyOpenAI • San Francisco, California, United States
Postuler Maintenant
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Data Scientist, Safety

OpenAI
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Postuler Maintenant

À propos

About the Team OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.
We are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly. This is a high-impact role operating at the intersection of product, safety, policy, and research.
About the Role As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.
Depending on your background and team alignment, you may work on areas such as:
Measure harmful or abusive behavior across OpenAI’s products
Detect fraud, manipulation, coordinated misuse
Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows
Design experiments and causal analyses to understand product, policy, and mitigation impacts
Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks
Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs
Translate ambiguous safety risks into measurable problems and evidence-based recommendations
Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes
Build zero-to-one analytical systems in rapidly evolving domains
Ideal Candidate We’re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.
You may be a fit if you have:
Strong statistical reasoning and analytical judgment
Experience with experimentation, causal inference, or observational analysis
Strong SQL and Python skills
Experience working with messy, incomplete, or noisy datasets
Ability to structure open-ended business or risk problems
Excellent communication with technical and non-technical stakeholders
High ownership and comfort operating independently
Helpful backgrounds include:
Trust & Safety / Integrity
Fraud & abuse
Security analytics
AI/ML model measurement and evaluation
Alignment and AI safety research
Biosecurity, synthetic biology, infectious diseases, or computational biology
Why This Role
Work on mission‑critical problems with world‑level impact
Help shape how frontier AI systems are deployed safely
Operate with unusual ownership and visibility
Solve novel problems where there are no existing playbooks
Join highly collaborative teams working across OpenAI
Location San Francisco, New York, or London depending on team alignment and business need.
Compensation Range $230K - $325K USD
Equal Opportunity Statement 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.
Background Checks 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.
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  • San Francisco, California, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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