Research Engineer, Reinforcement Learning
Core
Building large-scale reinforcement learning environments and simulations where agents learn to plan, adapt, and solve multi-step problems.
Role type
Research Engineer, Reinforcement Learning
Builds
Complex RL environments, simulations, and scalable feedback loops for agent training and evaluation
Domain
Artificial Intelligence / Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement Learning, environment design, reward dynamics, scalable simulation, agent dynamics, experiment design, infrastructure scaling
Preferred skills
Intuition for agent dynamics, curiosity for open-ended research problems
Technologies
(Not explicitly stated)
Responsibilities
Designing environment mechanics and reward structures, developing scalable simulation infrastructure, collaborating with researchers on agent behavior experiments
Seniority
Mid-to-Senior, hands-on IC
