Member of Technical Staff - RL Environments
Core
Building and maintaining reinforcement learning (RL) environments to train and evaluate AI agents for enterprise work.
Role type
Senior IC machine-learning engineer (RL environments)
Builds
RL environments, agent training pipelines, evaluation harnesses, and verifier tools
Domain
Enterprise AI, Reinforcement Learning, Agentic Systems
Deliverable
production ML models
Required skills
engineering AI agents, optimizing agents for industry use cases, reviewing agent trajectories, designing verifier implementations, tuning reward designs, designing annotation workflows, building synthetic data pipelines
Preferred skills
training with RL (scaling, troubleshooting, tuning environments)
Technologies
RL frameworks, agent harnesses, verifier systems, synthetic data generation tools
Responsibilities
Build new RL environments targeting different agentic capabilities and industry areas; Train and evaluate agents in those environments; Make all the pieces work together: tasks, data, tool implementations, and verifiers; Work across modeling and product to identify gaps in agent performance; Work with external vendors to create high-quality, expert-built RL environments; Automate the discovery of model capability gaps and systematically measure agent performance
Seniority
Senior, hands-on IC
