A company is looking for an ML Engineer II, Navigation.
Key Responsibilities Develop learning-based navigation models to predict safe trajectories from sensor inputs Build imitation learning pipelines from fleet logs and implement simulation-based refinement Collaborate with the AI Platform team to integrate learned policies and validate on-robot Required Qualifications Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD a plus) 3+ years of experience in ML for robotics, autonomy, or sequential decision-making Strong proficiency in PyTorch and experience with sequence models / policy learning Experience with imitation learning and/or reinforcement learning in robotics or autonomy contexts