RL Training Infra Engineer: Scale, Debug, & Optimize

OpenAI; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

OpenAI is looking for a strong generalist engineer to focus on reinforcement learning training runs. The role requires debugging across various infrastructures and improving reliability and efficiency in large-scale systems.

The ideal candidate is highly motivated, can work in messy areas, and enjoys building systems that support cutting-edge AI technologies. Applicants should have experience in ML infrastructure, debugging skills, and a strong attention to detail.

Qualifications

• Experience in reinforcement learning, inference, and scaling.
• Ability to debug across training systems and infrastructures.
• Strong communication skills and high ownership.

Responsibilities

• Keep large-scale RL training runs moving by solving urgent problems.
• Debug issues in training systems and distributed infrastructure.
• Improve the reliability and efficiency of RL training runs.

Skills

Generalist engineering

Debugging skills

Experience in ML infrastructure

High attention to detail

Ability to solve technical problems

Job description

OpenAI is looking for a strong generalist engineer to focus on reinforcement learning training runs. The role requires debugging across various infrastructures and improving reliability and efficiency in large-scale systems.

The ideal candidate is highly motivated, can work in messy areas, and enjoys building systems that support cutting-edge AI technologies. Applicants should have experience in ML infrastructure, debugging skills, and a strong attention to detail.