The Role
Develop and deploy machine learning, perception, mapping, localization, navigation, sensor fusion, and autonomy systems for outdoor robots. Train models on custom datasets, optimize algorithms for edge hardware, build testing and debugging tools, and deploy systems during real-world operations. Collaborate with multidisciplinary engineering teams while iterating on field performance and robot behaviors.
Summary Generated by Built In
About Us
The Role
Minimum Requirements
What You'll Do
At moss.ag, we build robots to go where humans won't, digitizing the physical outdoor world to make it machine-readable. Starting 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 autonomous field robots make harsh outdoor jobs easier and safer.
If our mission aligns with how you work and think, we’d love to learn more about you!
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.
- 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
- 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
Skills Required
- Impressive technical projects beyond the classroom in machine learning, computer vision, perception, robotics, mapping, or a related field
- Strong programming skills in Python, C++, or Rust
- Hands-on experience with machine learning or computer vision; 3D perception, point clouds, or sensor fusion; or localization, mapping, navigation, controls, or robot behaviors
- Comfort working in Linux and debugging real systems
- Willingness to learn quickly, take ownership, and test work on real robots
- Experience with PyTorch, LiDAR, cameras, ROS, CUDA, model deployment, or edge computing
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The Company
What We Do
moss is an agtech company that designs and builds autonomous ground vehicles and robotics solutions for specialty crop farms. By utilizing a sophisticated stack of LiDAR, cameras, and GPS, the company provides farmers with high-fidelity digital inventory and field data. Their mission is to address labor shortages and enhance agricultural productivity by enabling autonomous farming through AI-powered monitoring and management of plant and field conditions.
