Research Engineer / Research Scientist / AI Systems Engineer, RSI

OpenAI
San Francisco
Workplace: HybridFull timeUSD 295,000 - 445,000 annuallyFunction: Data Science & Machine LearningSkills: ["High ownership","Collaboration","Scientific rigor","Ambiguity tolerance"]

Build AI systems that automate and accelerate high-quality research on the RSI team. Design evaluation frameworks for research judgment and long-horizon experiments, and turn research workflows and model failures into data-driven evaluation flywheels. Improve research capabilities using agent harnesses, synthetic data, RL environments, and model training, while creating metrics and economic models to measure impact and safety.

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FursaFursa
OpenAI
OpenAI
2 days ago

Research Engineer / Research Scientist / AI Systems Engineer, RSI

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build AI systems that automate and accelerate high-quality research on the RSI team. Design evaluation frameworks for research judgment and long-horizon experiments, and turn research workflows and model failures into data-driven evaluation flywheels. Improve research capabilities using agent harnesses, synthetic data, RL environments, and model training, while creating metrics and economic models to measure impact and safety.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design evaluations for research judgment, hypothesis generation/testing, and long-horizon experiment execution.
  • •Transform real research workflows and model failures into data and evaluation flywheels.
  • •Improve model research capabilities using agent harnesses, synthetic data, RL environments, and model training.
  • •Build safe, reliable integrations between models and OpenAI’s research infrastructure.
  • •Develop research agents, experiment-orchestration systems, and sandboxed runtimes; create metrics and economic models to assess impact and safety.

Pay and Benefits

Salary: USD 295,000 - 445,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems.
  • •Strong generalist who can move between open-ended research and practical implementation to turn ambiguous problems into clear results.
  • •Experience collaborating across systems, data, model training, evaluations, and other research teams.
  • •Comfort building and maintaining data pipelines, tooling, and infrastructure to support emerging AI capabilities.
  • •Comfort working on problems without clear definitions or established playbooks, with rigorous thinking about quality, safety, privacy, reliability, performance, and scale.
Experience:LLM trainingResearch infrastructureSynthetic dataAgent systemsLarge-scale distributed systems
Skills:High ownershipCollaborationScientific rigorAmbiguity tolerance
Tech Stack:LLM trainingModel evaluationsAgent systemsSynthetic dataRL environmentsData pipelinesToolingInfrastructureLong-horizon experimentsDistributed systemsModel deploymentEvaluation flywheelsMetrics

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
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