Join Serve Robotics in a pivotal role as Lead Engineer, focusing on Reinforcement Learning and scenario generation on-site or remotely. Shape the future of delivery robots through scalable algorithms and simulations.

Serve Robotics is seeking a Lead Engineer to enhance our robotics platform through creative reinforcement learning techniques. This senior position emphasizes developing scalable training pipelines and generating synthetic scenarios for our sidewalk delivery robots. Your advanced skills in machine learning and distributed systems will directly impact the efficiency of our autonomous operations across cities like Los Angeles and Chicago.

Key Responsibilities:



• Develop RL algorithms for navigation and terrain awareness • Design and optimize large-scale RL training environments • Implement multi-agent RL strategies for enhanced learning • Create dynamic synthetic environments and behaviors • Collaborate with cross-functional teams to refine training objectives

Requirements: • Master’s in Robotics, AI, or related field • 7+ years in AI models for navigation tasks • 3+ years in technical leadership roles • Strong knowledge of reinforcement learning frameworks • Proficiency in Python and C++ for simulation projects

Drive advancements in robotics through innovative simulation techniques and collaborative development at Serve Robotics. #J-18808-Ljbffr

📌 Lead Engineer for Reinforcement Learning (Capital)
🏢 Serve Robotics
📍 Capital