Lead RL Systems Engineer – Scalable Training (Remote)

A leading robotics company in Toronto is seeking a Lead Engineer for RL Scaling & Procedural Scenario Generation. The successful candidate will develop scalable training pipelines and high-fidelity synthetic scenarios to optimize RL systems for rapid agent learning. Candidates should possess a Master’s degree and 7+ years of experience in robotics, AI models, and strong Reinforcement Learning and distributed training expertise. Competitive compensation is offered, with a salary range of $160k - $190k CAD.

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