ML Perception Robotics Intern - Real-World Autonomy

moss robotics; San Francisco (CA); In loco; USD 30.000 - 47.000; Tempo pieno

Descrizione del lavoro

moss.inc is seeking ML, perception, or robotics interns for Spring 2027 to build systems that enable robots to understand outdoor environments. You may work on 3D perception, sensor fusion, mapping, localization, or autonomy.

Roles involve training on large outdoor datasets, developing real-time deployment workflows, and iterating on hardware-enabled robotics solutions. This is a hands-on internship/co-op with potential part-time options.

Competenze

• 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: ML, CV, 3D perception, localization, mapping, or navigation.
• Comfortable working in Linux and debugging real systems.

Mansioni

• 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

Conoscenze

Python

C++

Rust

Linux

Strumenti

ROS

CUDA

LiDAR

Descrizione del lavoro

moss.inc is seeking ML, perception, or robotics interns for Spring 2027 to build systems that enable robots to understand outdoor environments. You may work on 3D perception, sensor fusion, mapping, localization, or autonomy.

Roles involve training on large outdoor datasets, developing real-time deployment workflows, and iterating on hardware-enabled robotics solutions. This is a hands-on internship/co-op with potential part-time options.