Robotics ML Engineer: Sim-to-Real Perception & Control

A leading robotics company in New York is looking for a Machine Learning Engineer (Robot Learning) to develop learning systems that bridge simulation and real robotic applications. Responsibilities include creating policies through imitation and reinforcement learning, designing perception pipelines, and integrating with ROS/ROS2 for real-time on-robot inference. Candidates should have 4+ years in applied ML or robotics and proficiency in Python, PyTorch, and C++. This role offers the opportunity to work in a dynamic environment focusing on advanced robotic solutions.

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