ML Engineering Manager, Model Graph

About the Team

The Workload ML team builds the core ML libraries of our state-of-the-art internal training framework used to train our cutting-edge models. The Model-Graph team within ML works primarily on optimizing distributed model execution.

Our priorities are to maximize training/inference throughput (how quickly we can train a new model) and researcher throughput (how quickly we can develop new models) with the goal of accelerating progress towards AGI.

About the Role

We are looking for an experienced engineering manager to help lead critical work on model definition and efficient distributed execution via graph compiler within our shared internal training stack. Our internal training stack is used by Research for large scale and small scale runs.

In this role, you will:

• Reduce the time it takes to try out new architecture ideas for training new models and increase the robustness of model code.

• Collaborate closely with researchers and other systems engineers to maximize the benefits of our shared internal training stack.

• Enable SOTA throughput for our most important research models.

• Hire world-class AI systems engineers in one of the most competitive hiring markets.

• Coordinate the training/inference needs of OpenAI's research teams.

• 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 in engineering management and 5+ years as an IC working with high scale distributed systems and ML systems.

• Have experience with ML systems, particularly large scale distributed training or inference of modern LLMs, as well as graph compilers.

• Have familiarity with the latest AI research and working knowledge of how these systems are efficiently implemented.

• Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams.

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.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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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.

Compensation Range: $460K - $555K