RL Systems - Infra

Highlights

• Build core systems enabling scalable, efficient training of large models via RL.
• Improve reliability and throughput of distributed RL training pipelines at scale.
• Build evaluation infrastructure measuring helpfulness, safety, and factuality.

What they offer

• health, dental, and vision benefits
• unlimited PTO
• paid parental leave
• relocation support

Ideal candidate

A collaborative builder who sits at the intersection of research and large-scale systems and takes initiative to ship. You care about making RL stable, fast, and reliable to extend human will and judgment.

Requirements

• Bachelor's degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases
• Understanding of deep learning frameworks and their underlying system architectures
• Thrive in a highly collaborative environment involving cross-functional partners
• A bias for action with a mindset to take initiative to work across different stacks and teams