Research Engineer, Privacy

OpenAI
San Francisco
Workplace: OnsiteFull timeUSD 380,000 - 445,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Communication","Documentation","Collaboration","Problem-solving","Attention to detail"]

Lead privacy-focused engineering work to develop and evaluate privacy-preserving ML techniques (e.g., differential privacy, federated learning) for OpenAI-scale systems, assess and mitigate privacy attacks, and build tooling and standards across teams to balance data utility with strong privacy guarantees.

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FursaFursa
OpenAI
OpenAI
8 months ago

Research Engineer, Privacy

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Lead privacy-focused engineering work to develop and evaluate privacy-preserving ML techniques (e.g., differential privacy, federated learning) for OpenAI-scale systems, assess and mitigate privacy attacks, and build tooling and standards across teams to balance data utility with strong privacy guarantees.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Design and prototype privacy-preserving ML algorithms (e.g., differential privacy, secure aggregation, federated learning) for deployment at OpenAI scale.
  • •Measure and strengthen model robustness against privacy attacks (membership inference, model inversion, data memorization) balancing utility with provable guarantees.
  • •Develop internal libraries, evaluation suites, and documentation to make cutting-edge privacy techniques accessible to engineering and research teams.
  • •Lead analyses of privacy–performance trade-offs of large models to inform model-training and product-safety decisions.
  • •Define and codify privacy standards, threat models, and audit procedures across the ML lifecycle from dataset curation to post-deployment monitoring.

Pay and Benefits

Salary: USD 380,000 - 445,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Hands-on research or production experience with privacy-enhancing technologies (PETs) such as differential privacy, secure aggregation, or federated learning.
Experience:PrivacyAI safetyMachine learning
Skills:CommunicationDocumentationCollaborationProblem-solvingAttention to detail
Languages:English
Tech Stack:PyTorchJAXDifferential privacyFederated learningSecure aggregationModel inversionMembership inference

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor