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Platform ML Engineering Manager, Training
Lead the enhancement of the internal training framework for cutting-edge AI models.
San Francisco, California, United States
Expert
$440,000 - 530,000 USD / year
3 months ago
✨ About The Role
- The role involves leading critical work on OpenAI's shared internal training stack and growing the engineering team.
- The candidate will be responsible for achieving state-of-the-art throughput for the most important research models.
- Reducing the time required to experiment with new research ideas for training new models will be a key focus.
- Collaboration with researchers and other systems engineers will be essential to maximize the benefits of the internal training stack.
- The role includes creating a diverse, equitable, and inclusive culture that encourages radical candor and challenges groupthink.
âš¡ Requirements
- The ideal candidate will have over 3 years of experience in engineering management and at least 7 years of experience as an individual contributor in high-scale distributed systems and machine learning systems.
- A strong background in machine learning systems, particularly in high-scale distributed training or inference for modern large language models (LLMs) is essential.
- Familiarity with the latest AI research and a working knowledge of efficient implementation of these systems will be crucial for success in this role.
- The candidate should demonstrate a commitment to diversity, equity, and inclusion, with a proven track record of building inclusive teams.
- Strong leadership skills are necessary to coordinate the training needs of OpenAI's research teams and to hire world-class AI systems engineers in a competitive market.
Platform ML Engineering Manager, Training
San Francisco, California, United States
$440,000 - 530,000 USD / year
Engineering
About OpenAI
Building artificial general intelligence