OpenAIDistributed Training Engineer, Sora
San Francisco · 全职 · 算法与研究
需要对标的能力
大模型原理 · LLM 基础AI Infra · 推理部署成本优化 · 性能调优多模态 · AI 生图AI 工程设计模式
岗位职责与要求
About the Team
The Sora team is working on making video a key capability of OpenAI’s foundation models. We are a hybrid research and product team that seeks to understand and expand the capabilities of our video models, while ensuring their reliability and safety. We accomplish this both through directly studying and experimenting with the models, as well as deploying them into the real-world to distribute their benefits widely.
About the Role
As a Distributed Systems/ML engineer, you will work on improving the training throughput for our internal training framework and enable researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
- Collaborate with researchers to enable them to develop systems-efficient video models and architectures
- Apply the latest techniques to our internal training framework to achieve impressive hardware efficiency for our training runs
- Profile and optimize our training framework
You might thrive in this role if you:
- Have experience working with multi-modal ML pipelines
- Love diving deep into systems implementations and understanding their fundamentals in order to improve their performance and maintainability
- Have strong software engineering skills and are proficient in Python.
- Have experience understanding and optimizing training kernels
- Are passionate about understanding stable training dynamics
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.
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.
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关于团队
Sora 团队致力于让视频成为 OpenAI foundation models 的核心能力。我们是一个兼具研究与产品特性的团队，旨在理解并扩展视频模型的能力，同时确保其可靠性与安全性。我们通过直接研究、实验模型，以及将它们部署到真实世界以广泛分发其益处来实现这一目标。
关于职位
作为 Distributed Systems/ML engineer，你将致力于提升内部 training framework 的 training throughput，并帮助研究人员实验新想法。这需要扎实的工程能力（例如设计、实现和优化 state-of-the-art AI models）、编写无 bug 的 machine learning 代码（出奇地困难！），以及对 supercomputers 性能的深入理解。我们希望找到热爱优化性能、理解 distributed systems、无法容忍代码中存在 bug 的人。
该职位位于 San Francisco, CA。我们采用每周 3 天到办公室的 hybrid work model，并为新员工提供 relocation assistance。
在这个职位中，你将：
- 与研究人员合作，帮助他们开发 systems-efficient video models 和 architectures
- 将最新技术应用到我们的 internal training framework，以实现 training runs 的出色 hardware efficiency
- 对 training framework 进行 profiling 和优化
如果你具备以下条件，你可能适合这个职位：
- 有 multi-modal ML pipelines 的工作经验
- 喜欢深入钻研 systems implementations，理解其基本原理以提升性能和可维护性
- 具备扎实的 software engineering 技能，精通 Python
- 有理解并优化 training kernels 的经验
- 热衷于理解 stable training dynamics
如需向 OpenAI 反馈你认为该职位发布存在不合规之处，请通过此表单提交报告 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA。与职位发布合规性无关的询问将不予回复。
在 OpenAI，我们相信 artificial intelligence 有潜力帮助人们解决巨大的全球性挑战，我们希望 AI 的益处能够被广泛分享。加入我们，共同塑造技术的未来。
译文仅供辅助阅读，具体要求以原始招聘来源为准。