Research Engineer, Infrastructure

Highlights

• Build infrastructure powering post-training of open-weight models for legal work.
• Own distributed rollout systems for long-horizon agent tasks with tools.
• Shorten path from research idea to customer impact in production.

What they offer

• Equity
• Bonus

Ideal candidate

Hands-on infrastructure-minded engineer who owns demanding systems end-to-end and thrives debugging across the stack. You love partnering with researchers to make training faster and turn experiments into reliable systems.

Requirements

• Experience building ML infrastructure, distributed systems, or research tooling with ownership of performance and reliability
• Strong generalist software engineering skills across backend services, data systems, and internal tools
• Experience with distributed training or inference including diagnosing bottlenecks and failures
• Understanding of post-training workflows; RL rollouts and agent environments experience a plus
• Judgment on build vs adopt and ability to partner with researchers and ship quickly