Machine Learning Engineer (Robotics / Embodied AI)

About the role

We use cookies to improve your experience, personalize content, and analyze traffic. Accept all, decline non-essential, or manage your preferences. See our Cookie Policy. Avatar Robotics | Full time Machine Learning Engineer (Robotics / Embodied AI) San Francisco, United States | Posted on 01/14/2026 • Job listing • Job details Job Information • Date Opened 01/14/2026 • Job Type Full time • Industry Engineering • Required Skills continuous improvement data collection +4 • continuous improvement • data collection • +4 • City San Francisco • State/Province CA • Country United States • Zip/Postal Code 94111 Job Description Overview What we do What you'll do • Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots. • Build data processing systems for cleaning, labeling, and organizing multi-modal data (RGB-D, LiDAR, proprioceptive feedback). • Develop and train Vision-Language-Action models, imitation learning policies, and behavior cloning systems. • Deploy trained models to edge compute devices with real-time inference constraints. • Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack. What you bring • 3+ years of hands-on ML experience, preferably in robotics, computer vision, or embodied AI. • Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models. • Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems. • Proficiency with computer vision techniques (object detection, segmentation, point cloud processing). • Understanding of robotics fundamentals (kinematics, control theory, sensor fusion). • Strong Python skills and experience with ML libraries. • Bonus: Experience with Vision-Language-Action models, foundation models, or deploying models to edge devices. Additional Notes • Our team develops on physical robots in person—expect hands-on testing and debugging • Need to be located or willing to relocate to San Francisco, CA • Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet