13 Aug
|
Robotics
|
Toronto
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 solid Reinforcement Learning and distributed training expertise. Competitive compensation is offered, with a salary range of $160k - $190k CAD.#J-18808-Ljbffr
📌 Lead Rl Systems Engineer – Scalable Training (Remote) - C$160,000 - C$190,000 A Year - Remote (Toronto)
🏢 Robotics
📍 Toronto