Spring ’27 Intern – ML / Perception / Robotics

Moss; San Francisco, Northern (CA, KY); Hybrid; USD 26,000 - 36,000; Part time

Job summary

Moss is seeking ML, Perception, or Robotics Interns in San Francisco to join a fast-moving team building autonomous field robots for harsh outdoor environments.

You'll work on 3D perception, multimodal ML, sensor fusion, and autonomy, training models on large outdoor datasets and deploying optimized solutions on edge GPUs. Internships include Spring 2027, co-ops, and part-time roles with potential earlier start.

Qualifications

• Impressive ML/vision/perception projects beyond the classroom.
• Strong programming in Python, C++, or Rust.
• Hands-on experience with 3D perception, localization, or sensor fusion.

Responsibilities

• Own projects from research to deployment on real robots.
• Build and evaluate ML, perception, mapping, and autonomy systems.
• Train models on outdoor datasets gathered by our robots.
• Develop sensor fusion across LiDAR, cameras, GPS/IMU, and others.
• Build localization, navigation, controls, and robot behaviors.
• Develop tools for data collection, labeling, training, and simulation.
• Optimize models for latency and edge hardware deployment.
• Test and deploy robotic systems during real-world operations.
• Collaborate with perception, software, electrical, and mechanical engineers.

Skills

Python

C++

Rust

PyTorch

ROS

CUDA

Edge computing

Tools

LiDAR

Cameras

GPS/IMU

Job description

About Us

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!

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