About the Team

OpenAI’s Scaling team operates at the far edge of all available innovations in AI — doing the engineering and research required to harness custom-built hyperscale supercomputers, the latest algorithmic improvements, and massive datasets to train AI models of unprecedented capability.

We build our own model training software stack, solving problems at all layers of the stack including iteration speed, observability, compute efficiency, correctness, and fault detection and recovery.

The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform.

About the Role

As a Researcher or Software Engineer in Systems and Scaling, you will work at the intersection of hardware and software, co-designing systems and ML code that aim to deliver near-optimal performance for training large-scale AI models. Our team moves at a fast pace and provides individuals with a high degree of autonomy and a strong ability to affect change.

An ideal candidate would have:

• Experience and passion for building systems from the ground up.
• Experience in tackling novel systems problems.
• A Deep understanding of performance and comfort with theoretical performance modeling.
• Breadth across a few areas of systems research (operating systems, networking, distributed systems, architecture, programming languages) and deep expertise in one.
• Excellent communication skills. You can explain your work's intricacies to a non-technical audience if need be.