Spring '27 Intern - ML / Perception / Robotics

About Us At moss.inc, we are making the physical world searchable. Our sensor kits mount to vehicles our customers already drive, and turn every drive into a measured 3D record of their site, across agriculture, construction, and energy. Our AI models then parse through those 3D maps and decipher important information for each of our customers. We started with tree farms, where a single field holds millions of plants no human has ever fully inventoried. 🌲🤯🌳 We're a small team of practical engineers with a long-term vision. We focus on real, messy, on-the-ground problems today, while working toward a future where AI agents understand the physical world. If our mission aligns with how you work and think, we'd love to learn more about you. The Role Join us as an ML, Perception, or Robotics Intern on a fast-moving team building the systems that allow our robots to understand and operate in complex outdoor environments. Depending on your interests and experience, you may work on 3D perception, multimodal ML, sensor fusion, mapping, localization, navigation, or autonomy. You might train detection and segmentation models on large custom datasets, fuse LiDAR and camera data, build 3D mapping and localization systems, develop robot behaviors, or optimize models and algorithms for real-time deployment on edge GPUs. Our robots operate through changing light, harsh shadows, motion, dust, dense vegetation, uneven terrain, and severe occlusions. You’ll work across the full loop — from data and research to deployment, field failures, and iteration on real robots. We’re hiring for Spring 2027 internships, co-ops, and part-time roles, with the possibility of starting earlier part-time. Minimum 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 Experience with PyTorch, LiDAR, cameras, ROS, CUDA, model deployment, or edge computing is valuable but not required What You'll Do 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