Machine Learning Engineer (Robotics / Embodied AI)

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