研究工程师 / 研究科学家 / AI系统工程师，RSI
Research Engineer / Research Scientist / AI Systems Engineer, RSI
关于团队
Recursive Self-Improvement（RSI）团队在研究、工程、产品和基础设施领域开展工作，构建AI系统以加速并最终执行高质量的研究工作。我们致力于通过构建系统和反馈循环、设计评估方法以及训练模型来提升研究效率，从而开发缺失的能力。
我们的工作贯穿模型训练、评估和部署的整个生命周期，帮助研究人员更快地推进并解决日益复杂的难题。
关于职位
我们正在招聘研究科学家、研究工程师和AI系统工程师，以在OpenAI实现研究自动化。
该职位位于美国加利福尼亚州旧金山。
在此职位中，您将：
- 为研究判断、假设生成与测试以及长期实验执行设计评估。
- 将真实的研究流程和模型失败转化为数据和评估飞轮。
- 通过代理控制、合成数据、强化学习环境和模型训练来提升模型研究能力。
- 构建并维护模型与OpenAI研究基础设施之间的安全、可靠的集成。
- 开发研究代理、实验编排系统和沙盒运行时，以支持真实的研究流程。
- 创建指标和经济模型，以理解RSI对研究效率、模型能力和内部部署安全性的当前及未来影响。
这是一个需要高度自主权的职位，适合在模糊环境中茁壮成长、在研究与实现之间灵活切换，并将新兴机会转化为严谨、可靠、可扩展结果的研究人员和工程师。
如果您具备以下条件，可能会在这个职位中表现出色：
- 在LLM训练、模型评估、代理系统、合成数据、研究基础设施或大规模分布式系统方面有研究或工程经验。
- 是一名优秀的通才，能够在开放性研究和实际实现之间自由切换，将模糊的问题转化为清晰的结果。
- 能够在全栈范围内有效协作，包括系统、数据、模型训练、评估和其他研究团队。
- 擅长构建和维护支持新兴AI能力的数据管道、工具和基础设施。
- 能够处理定义不明确或没有既定方案的问题。
- 对科学质量和研究品味有严谨的思考。
查看英文原文
About the Team
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. We work to automate real research workflows and improve research productivity by building systems and feedback loops, designing evaluations, and training models to develop missing capabilities.
Our work spans the full lifecycle of model training, evaluation, and deployment to help researchers move faster and tackle increasingly ambitious problems.
About the Role
We’re hiring research scientists, research engineers, and AI systems engineers to work on automating research at OpenAI.
This role is based in San Francisco, CA.
In this role, you will:
- 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.
This is a high-ownership role for researchers and engineers who thrive in ambiguity, move fluidly between research and implementation, and turn emerging opportunities into rigorous, reliable, scalable results.
You might thrive in this role if you:
- 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.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.