Robotics ML Engineer - Real-World Humanoid AI

Noble Machines; Sunnyvale (CA); On-site; USD 170,000 - 400,000; Full time

Job summary

Noble Machines in Sunnyvale, CA seeks a machine learning engineer to lead AI system development powering multipurpose humanoid robots. You’ll design, implement, and optimize learning algorithms for locomotion, perception, and manipulation in real‑world environments.

Collaborate with robotics researchers and hardware teams, work with ROS, Gazebo, MuJoCo, and ML frameworks, and contribute to deployments in heavy industries. This role blends research and hands‑on robotics work.

Qualifications

• Master’s or PhD in Robotics, Computer Science, ML, or related field.

Responsibilities

• Create and optimize learning pipelines for training locomotion policies across environments.
• Develop ML models for robot perception, decision‑making, and motion planning.
• Create and optimize computer vision systems for environmental awareness and object recognition.
• Collaborate with hardware teams to integrate learning systems with physical platforms.
• Design simulation environments for training and testing learning algorithms.
• Collect, process, and analyze field data to improve learning systems continuously.
• Develop metrics and benchmarks to evaluate robot learning performance.
• Stay current with robotics and ML research and innovations.

Skills

Python

C++

Reinforcement learning

Computer vision

Motion planning

Robot operating system (ROS)

TensorFlow

PyTorch

LaTeX/Math

Legged locomotion

Education

Master’s or PhD in Robotics

Tools

ROS

Gazebo

MuJoCo

Isaac Sim

TensorFlow

PyTorch

Job description

Noble Machines in Sunnyvale, CA seeks a machine learning engineer to lead AI system development powering multipurpose humanoid robots. You’ll design, implement, and optimize learning algorithms for locomotion, perception, and manipulation in real‑world environments.

Collaborate with robotics researchers and hardware teams, work with ROS, Gazebo, MuJoCo, and ML frameworks, and contribute to deployments in heavy industries. This role blends research and hands‑on robotics work.