Research Scientist / Engineer – Reinforcement Learning Infrastructure
- Location
- Greater London, England, United Kingdom
that turn model behavior into learning signal. RL is how Luma's models go from capable to useful. RL at scale is a full-loop systems problem: training, rollout generation, environment execution, and reward computation running concurrently across thousands of GPUs, all needing to stay fast, stable … production runs with researchers. First 90 Days One way the first 90 could unfold. Days 1–30 — Immerse & Diagnose: Learn the current RL stack and where throughput, stability, or correctness break. Days 30–60 — Ship & Validate: Improve a piece of the loop (rollout throughput, reward infra ...