Machine Learning Engineer (Robotics / Embodied AI)

Overview
<\/h2>

We're hiring a Machine Learning Engineer to lead our progression from teleoperation to autonomy. You'll use cutting -edge Vision -Language -Action (VLA) models and imitation learning to make our teleoperated robots increasingly autonomous over time. This role spans the full ML lifecycle: data capture and organization, model training and evaluation, deployment to edge devices, and continuous improvement based on real -world performance. You'll work at the intersection of robotics, computer vision, and foundation models—turning thousands of hours of human demonstrations into autonomous capabilities.
<\/div>

<\/div>

What we do
<\/h2>

Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi -autonomous.
<\/div>

<\/div>

With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where millions of machines will make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes.
<\/div>

<\/div>

At Avatar Robotics, you'll create the workforce of the future—in one of the largest markets ($1T+ manual labor market in the US alone).
<\/div>

<\/div>

We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide.
<\/div>

<\/div>

What you'll do
<\/h2>

• Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots.
  <\/span><\/li>
• Build data processing systems for cleaning, labeling, and organizing multi -modal data (RGB -D, LiDAR, proprioceptive feedback).
  <\/span><\/li>
• Develop and train Vision -Language -Action models, imitation learning policies, and behavior cloning systems.
  <\/span><\/li>
• Deploy trained models to edge compute devices with real -time inference constraints.
  <\/span><\/li>
• Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack.
  <\/span><\/li><\/ul>

  What you bring
  <\/h2>

  • 3+ years of hands -on ML experience, preferably in robotics, computer vision, or embodied AI.
    <\/span><\/li>
  • Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models.
    <\/span><\/li>
  • Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems.
    <\/span><\/li>
  • Proficiency with computer vision techniques (object detection, segmentation, point cloud processing).
    <\/span><\/li>
  • Understanding of robotics fundamentals (kinematics, control theory, sensor fusion).
    <\/span><\/li>
  • Strong Python skills and experience with ML libraries.
    <\/span><\/li>
  • Bonus: Experience with Vision -Language -Action models, foundation models, or deploying models to edge devices.
    <\/span><\/li><\/ul>

    Additional Notes
    <\/h2>

    • Our team develops on physical robots in person—expect hands -on testing and debugging
      <\/span><\/li>
    • Need to be located or willing to relocate to San Francisco, CA
      <\/span><\/li>
    • Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet
      <\/span><\/li><\/ul>

      Come join us in building a new global economy, where anyone can do manual work remotely and with robo -scale. Together, we can make goods and resources more affordable and available than they’ve ever been, for everyone on Earth.
      <\/div>

      
      <\/div><\/span>