Engineering Manager – Fine Tuning API

About the Team

Our team brings OpenAI’s most capable technology to the world through our products. Most recently, we released ChatGPT, GPT-4, the Whisper API, and DALL-E. We empower consumers and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before.

Across all product lines, we ensure that these powerful tools are used responsibly. This is a key part of OpenAI’s path towards safely deploying broadly beneficial Artificial General Intelligence (AGI). Safety is more important to us than unfettered growth.

About the Role

We are looking for an experienced engineering manager to support our Fine Tuning API team – the team that enables our API developers to customize their models via fine-tuning. This is a unique team that spans both research and applied AI tech stacks. You will work closely with our research team to bring the core technology that trained GPT-4 into the hands of all of our API developers. You will also collaborate with our product teams to build a world-class model customization experience for our API developers. Above all, you will be responsible for ensuring the safe deployment of a product that can push the performance of our models to new heights.

In this role, you will:

• Manage, build out, and mentor a team of high performing software and research engineers.
• Work with our product team to craft both the technical and product vision for the future of our fine tuning API.
• Collaborate closely with research teams to push to the boundaries of what is possible with large language model customization.
• Create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think

You might thrive in this role if you:

• Have 3+ years of experience managing high performing and diverse software engineering teams, and 6+ years of experience working with production software systems.
• Have prior experience working with training and inference of large language models, especially in production environments.
• Have familiarity with the latest AI research and working knowledge of how these systems are efficiently implemented
• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
• Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines