Member of Technical Staff, RL Research & Environments

Highlights

• Design reward signals and training environments for long-horizon RL iteration.
• Build evaluation frameworks that surface long-context failure modes.
• Own data and environment systems connecting product goals to capability gains.

What they offer

• Equity
• 401(k) plan with 6% salary matching
• Health, dental and vision insurance for you and dependents
• Unlimited paid time off
• Relocation stipend

Ideal candidate

A hands-on research engineer who owns data and environment systems end-to-end and obsesses over data quality and rigorous evaluation to drive measurable long-context capability gains.

Requirements

• Strong software engineering fundamentals
• Experience building or operating large-scale data or ML systems
• Ability to design and interpret experiments that measure model behavior changes
• Comfort working at the intersection of ML, data systems, and infrastructure
• Strong attention to data quality and evaluation rigor
• Track record of owning experimental or production systems end-to-end