Lead Engineer in Reinforcement Learning at Serve Robotics …, Vancouver

Transform urban delivery dynamics as the Lead Engineer for Reinforcement Learning at Serve Robotics. Oversee the creation of synthetic scenarios that enhance robotic navigation and delivery efficiency. This role is pivotal for experienced engineers with a Master's degree in Robotics or related fields and over 7 years in AI model shipping. You will design and optimize sophisticated RL algorithms while leading the creation of scalable training pipelines. Your expertise in simulation environments will empower robotics innovations across cities such as Los Angeles, Miami, and Chicago. Key Responsibilities: - Develop algorithms for terrain intelligence and navigation - Optimize large-scale RL training pipelines in distributed settings - Implement multi-agent RL strategies for robust systems - Build automated tools for experiment metrics and orchestration - Design APIs connecting scenarios with RL agents Requirements: - Master’s degree in Robotics, AI, or Computer Science - 7+ years in AI model development for robotics - 3+ years in technical leadership roles - Solid knowledge of Reinforcement Learning methods - Proficiency in Python and C++ for simulations Elevate robotic delivery systems by utilizing advanced RL and simulation techniques in this impactful role with Serve Robotics. Apply on Kit Job: kitjob.ca/job/2pbl1t