OpenAI is seeking a Graph Compiler Engineer to join their Platform ML team. This role focuses on building the ML side of OpenAI's state-of-the-art internal training framework used to train cutting-edge models. The successful candidate will work on distributed model execution, interfaces, and implementation for model code, training, and inference.
Key Responsibilities:
Ideal Candidate:
The role offers an exciting opportunity to work on OpenAI's training framework and contribute to accelerating progress towards AGI. Small improvements in hardware utilization for large training runs can produce significant cost savings, while enabling researchers to iterate quickly on their ideas will lead to substantial improvements in model capabilities and compute efficiency.
OpenAI offers a competitive compensation package, including a salary range of $245K – $385K, generous equity, and comprehensive benefits. The company is committed to diversity, equality, and creating an inclusive work environment.
This is a hybrid position based in San Francisco, CA, requiring 3 days in the office per week. Relocation assistance is available for new employees.