Machine Learning Engineer, Core Experimentation

AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.

41 current maintainers27 active leads7 new active leads120 lead step-downs17 early lead departures
San Francisco, United States
About OpenAI

OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity. It consists of the nonprofit OpenAI Foundation and OpenAI Group, a public benefit corporation governed by the Foundation.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead the technical direction for ML-powered experimentation and insights capabilities. You'll build production systems across ML modeling, retrieval and LLM systems, statistical methods, simulation and data pipelines, making predictions traceable, calibrated and safe enough to influence real product decisions.

Requirements

  • Led ambiguous 0-to-1 production ML products
  • Hands-on experience across the ML lifecycle
  • Depth in LLM and retrieval systems, ranking, forecasting, causal ML, or simulation
  • Strong software engineering fundamentals in Python
  • Grounding in machine learning, statistics, or computer science
  • Understanding of experimentation and statistical reasoning
  • Ability to translate ambiguous questions into product and technical roadmaps

Responsibilities

  • Set and execute the technical roadmap for Generative Insights and Predictive Experimentation
  • Build cross-experiment learning systems that retrieve and synthesize historical experiments and generate hypotheses
  • Develop predictive models and simulation workflows to estimate impact, segments, regression risk, and uncertainty
  • Create high-quality datasets and feature or retrieval pipelines with strong lineage, privacy, and data-quality controls
  • Establish rigorous evaluation via offline benchmarks, backtests, calibration, and drift monitoring
  • Turn models into durable product, API, and agent workflows
  • Partner with data science and product teams on experiment design, causal inference, and variance reduction
  • Build reliable services and intuitive workflows for ML capabilities
  • Provide technical leadership and raise the bar for production ML quality

Benefits

  • Equity
  • Performance-related bonus
  • Medical, dental, and vision insurance with HSA employer contributions
  • Health FSA, Dependent Care FSA, and commuter pre-tax accounts
  • 401(k) with employer match
  • Paid parental leave (up to 24 weeks birth parents, 20 weeks non-birthing parents)
  • Paid medical and caregiver leave (up to 8 weeks)
  • Flexible PTO for exempt employees
  • 13+ paid company holidays and coordinated office closures
  • Paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices and meal delivery credits
  • Relocation support
  • Charitable donation matching and wellness stipends