Spring ’27 Intern – ML / Perception / Robotics

mossSan Francisco, CA
Onsite

About The Position

At moss.ag, we build robots designed to operate in environments unsuitable for humans, digitizing the physical outdoor world to make it machine-readable, starting with tree farms. We are a small team of practical engineers with a long-term vision, focusing on solving real-world problems while working towards a future where autonomous field robots enhance safety and ease in outdoor jobs. We are looking for individuals whose mission aligns with our working and thinking approach.

Requirements

  • Impressive technical projects beyond the classroom in ML, computer vision, perception, robotics, mapping, or related fields
  • Strong programming skills in Python, C++, or Rust
  • Hands-on experience with at least one of the following: Machine learning or computer vision, 3D perception, point clouds, or sensor fusion, Localization, mapping, navigation, controls, or robot behaviors
  • Comfortable working in Linux and debugging real systems
  • Excited to learn quickly, take ownership, and test your work on real robots

Nice To Haves

  • Experience with PyTorch, LiDAR, cameras, ROS, CUDA, model deployment, or edge computing

Responsibilities

  • Own projects from research and design through deployment and iteration on real robots
  • Build and evaluate ML, perception, mapping, and autonomy systems
  • Train models on custom outdoor datasets collected by our robots
  • Develop sensor fusion across LiDAR, cameras, GPS/IMU, and other sensors
  • Build localization, navigation, controls, and robot behaviors
  • Develop tools for data collection, labeling, training, evaluation, simulation, and field debugging
  • Optimize models and algorithms for latency, memory usage, and reliability on edge hardware
  • Test and deploy robotic systems during real-world customer operations
  • Collaborate closely with perception, software, electrical, and mechanical engineers
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