Research Engineer, RL Infrastructure and Reliability (Knowledge Work)

📋 Description

• Own reliability for Knowledge Work training environments.
• Ensure evaluation tools and model release processes are clean and reproducible.
• Build observability dashboards and tooling with high signal-to-noise metrics.
• Proactively harden environments via load testing and fault injection.
• Be primary contact for partner teams and drive incidents to resolution.
• Reduce researchers' operational burden to let them focus on research.

🎯 Requirements

• Highly experienced Python engineer shipping reliable, instrumented code.
• Experience operating ML or distributed systems at scale (on-call).
• SRE/production mindset: SLOs, load tests, and failure injection.
• Foundational ML knowledge to understand training/evaluation.
• Able to read research code and reason about evaluation integrity.
• 5+ years operating ML or distributed systems at scale.

🎁 Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Lovely office space in San Francisco.