Staff+ Research Engineer, RL Data Platform
Core
Design and ship full-stack web interfaces and backend data pipelines that produce, move, and serve human feedback data for training RL models.
Role type
Staff+ Research Engineer (RL Data Platform)
Builds
Feedback interfaces, data collection pipelines, monitoring dashboards, and tooling for RL researchers.
Domain
AI Safety / Reinforcement Learning from Human Feedback (RLHF) / Data Infrastructure
Deliverable
production ML models
Required skills
TypeScript, React, Python, backend service design, data pipeline engineering, system reliability, full-stack ownership
Preferred skills
Human-in-the-loop data tooling, RLHF pipelines, researcher-facing internal tools, experiment design for data collection, crowdworker platform experience, LLM training/evaluation knowledge
Technologies
TypeScript, React, Python
Responsibilities
Design and operate feedback interfaces for human annotators and researchers; build backend services and APIs for routing model samples and returning structured feedback; ensure reliability and latency of systems running against live model endpoints; partner with RL researchers to scope data collection campaigns; build dashboards for data quality and throughput monitoring; identify and remove bottlenecks in the data-to-training pipeline
Seniority
Staff+, hands-on IC with architectural ownership