About this role
Reinforcement Learning Engineer - Ingénieur(e) en apprentissage par renforcement at NBCUniversal. Location: Montréal or New York. Role: designing environments, implementing algorithms, tuning rewards Requirements: Graduate degree in robotics/CS/AI, proven RL engineering experience, strong math, fluency in Python/Git/Unix, experience with RL frameworks and simulators, and sim-to-real expertise. Category: Research and Development (R&D) Seniority: Mid Level Tools: Python, Git, Unix shell, Ray RLlib, Stable Baselines3, CleanRL, MuJoCo, Bullet, Unity, Unreal, Isaac Sim, Jira, Confluence, Slack Commitment: Full Time Workplace: Hybrid Languages: English, French