# Research Engineer / Research Scientist / AI Systems Engineer, RSI **Company**: OpenAI **Location**: San Francisco **Work arrangement**: hybrid **Job type**: Full time **Salary**: $295K – $445K **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q124605186 **Apply**: https://jobs.ashbyhq.com/openai/7243bdb7-7f75-4dff-a10f-18bd7296f632?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_96152e2d-a8f ## Description We are seeking research scientists, research engineers, and AI systems engineers to work on automating research at OpenAI. The Recursive Self-Improvement (RSI) team works across research, engineering, product, and infrastructure to build AI systems that accelerate and ultimately conduct high-quality research at OpenAI. Responsibilities: - Design evaluations for research judgment, hypothesis generation and testing, and long-horizon experiment execution. - Turn real research workflows and model failures into data and evaluation flywheels. - Improve model research capabilities through agent harnesses, synthetic data, RL environments, and model training. - Build and maintain safe, reliable integrations between our models and OpenAI's research infrastructure. - Develop research agents, experiment-orchestration systems, and sandboxed runtimes that support real research workflows. - Create metrics and economic models to understand RSI's current and future effects on research productivity, model capabilities, and the safety of internal deployments. Requirements: - Have research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems. - Are a strong generalist who can move between open-ended research and practical implementation, turning ambiguous problems into clear results. - Collaborate effectively across the full stack, including systems, data, model training, evaluations, and other research teams. - Are comfortable building and maintaining the data pipelines, tooling, and infrastructure needed to support emerging AI capabilities. - Are comfortable working on problems without clear definitions or established playbooks. - Think rigorously about scientific quality, research taste, safety, privacy, reliability, performance, and scale. - Are excited about using increasingly capable AI systems to accelerate meaningful research. Benefits: - Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts - Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) - 401(k) retirement plan with employer match - Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) - Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees - 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time - Mental health and wellness support - Employer-paid basic life and disability coverage - Annual learning and development stipend to fuel your professional growth - Daily meals in our offices, and meal delivery credits as eligible - Relocation support for eligible employees - Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. ## Skills ### Required - LLM training - model evaluations - agent systems - synthetic data - research infrastructure - large-scale distributed systems --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/7243bdb7-7f75-4dff-a10f-18bd7296f632?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)