工程经理，模型飞轮
Engineering Manager, Model Flywheel
团队简介
ChatGPT Model Flywheel团队的共同目标是通过可靠的模型服务、快速的实验、安全的部署和持续改进，将模型进展转化为出色的ChatGPT用户体验。
团队重点方向
- 模型实验：
- 通过实验自动化和生命周期管理，实现ChatGPT和Codex产品的快速、安全模型验证。
- 模型部署：
- 确保模型能力的安全、可扩展部署，具备强大的发布和运维工具。
- 自动化容量管理并集成平台级健康监控。
- 模型评估：
- 构建全面的模型质量评估和测量系统，从用户信号到上线评分表。
- 改进端到端反馈循环，以持续提升模型。
关键合作方
与Model Measurement DS、Research、Codex、Fleet、Inference和API等团队进行跨职能协作。
在此职位中，您将：
- 提升并整合ChatGPT的框架、上下文管理和系统提示机制。
- 推动多层级模型体验的扩展和改进。
- 支持并扩展自助实验功能和自动化防护机制。
- 领导模型发布自动化、容量管理和健康监控。
- 设计端到端的评估系统（评估、评分信号、用户反馈等）。
如果您具备以下条件，可能会在这个职位中表现出色：
- 在复杂、跨职能环境中有领导工程团队的实战经验。
- 在AI或大型后端服务中成功交付大规模生产系统的实际成果。
- 对模型驱动的产品开发、部署生命周期和评估工具有深入理解。
- 优秀的沟通和协作能力——有直接与工程、研究和产品利益相关者对接的经验。
- 曾参与大型语言模型、分布式基础设施或实验平台的优先考虑。
为什么与我们合作
- 解决人工智能最前沿的高影响力技术挑战。
- 与世界级的研究人员、工程师和产品领导者合作。
- 构建被数百万人使用的基础设施和体验。
- 塑造人们与AI互动的未来方式。
如果您对在全球范围内提升AI的可靠性、安全性和用户影响充满热情，我们鼓励您申请！
关于OpenAI
OpenAI是一家人工智能研究和部署公司。
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About the Team
The ChatGPT Model Flywheel team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement.
Team Focus Areas
- Model Experimentation:
- Enable rapid, safe model validation for ChatGPT and Codex products through experiment automation and lifecycle management.
- Model Deployment:
- Ensure safe, scalable deployment of model capabilities with robust rollout and operational tooling.
- Automate capacity management and incorporate platform-wide health monitors.
- Model Measurement:
- Build comprehensive evaluation and measurement systems for model quality, from user signals to launch scorecards.
- Improve end-to-end feedback loops for continual model improvement.
Key Partnerships
Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API.
In this role, you will:
- Elevate and consolidate ChatGPT’s harness, context management, and system prompt frameworks.
- Drive expansion and improvement of multi-tier model experiences.
- Support and scale self-serve experiment capabilities and automated guardrails.
- Lead model rollout automation, capacity management, and health monitoring.
- Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.).
You might thrive in this role if you have:
- Proven experience leading engineering teams in complex, cross-functional environments.
- Demonstrated success shipping production systems at scale (ideally for AI or large backend services).
- Deep understanding of model-driven product development, deployment lifecycle, and measurement tooling.
- Excellent communication and collaboration skills—experience interfacing directly with engineering, research, and product stakeholders.
- Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus.
Why Work With Us
- Tackle highly impactful technical challenges at the cutting edge of AI.
- Collaborate with world-class researchers, engineers, and product leaders.
- Build infrastructure and experiences used by millions.
- Shape the future of how people interact with AI.
If you’re passionate about advancing AI reliability, safety, and user impact at a global scale, we encourage you to apply!
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.
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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.