Staff+ Research Engineer, RL Data Platform

Responsibilities

• Design, build, and operate feedback and data-collection interfaces for human annotators, domain experts, and internal researchers.
• Build and maintain backend services, APIs, and data pipelines that route model samples to humans and return structured feedback for training.
• Own the reliability, latency, and usability of systems operating continuously against live model endpoints.
• Partner with RL researchers to translate data needs into collection campaigns and supporting tooling.
• Build dashboards, monitoring, and inspection tools for data quality and throughput.
• Identify and remove bottlenecks between data requests and inclusion in the training mix.

Requirements

• Strong full-stack engineering skills with production experience in TypeScript, React, and Python.
• Experience designing and operating backend services and data pipelines used by other teams.
• Experience owning projects end-to-end, from ambiguous requirements through production.
• Ability to work directly with technical stakeholders and exercise product and architectural judgment.
• Effective use of AI tools in day-to-day work.
• Care for the societal impacts of the work.
• Bachelor's degree or equivalent combination of education, training, and experience in a relevant field.

Nice-to-haves

• Experience building annotation, labeling, evaluation, or other human-in-the-loop data tooling.
• Experience with RLHF, preference data, or human-feedback pipelines for ML systems.
• Experience shipping researcher-facing or expert-facing internal tools.
• Experience experimenting with data-collection interfaces to improve data quality.
• Experience working with crowdworker or expert vendor platforms at scale.
• Familiarity with LLM training and evaluation.

Compensation

• Annual salary: $500,000–$850,000 USD.