Field Robotics ML Engineer for Real-World Humanoid Robots

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

Job summary

Noble Machines in Sunnyvale, CA is hiring a machine learning engineer to lead development of ML and AI systems for multipurpose humanoid robots. You will design, implement, and optimize learning algorithms enabling robots to move across diverse environments while performing complex manipulation tasks.

The role requires a strong background in robotics, machine learning, and perception with experience in reinforcement learning, computer vision, and motion planning, plus proficiency in Python and

Qualifications

• Master's or PhD in robotics, CS, ML, or related field.
• 3+ years of experience developing ML for robotics.
• Strong programming in Python and C++.
• Experience with ROS and robotics simulation tools.

Responsibilities

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

Skills

Python programming

C++ programming

TensorFlow

PyTorch

Reinforcement learning

Computer vision

Motion planning

ROS

Education

Master's degree in Robotics

PhD in related field

Tools

Gazebo

MuJoCo

Isaac Sim

ROS

Job description

Noble Machines in Sunnyvale, CA is hiring a machine learning engineer to lead development of ML and AI systems for multipurpose humanoid robots. You will design, implement, and optimize learning algorithms enabling robots to move across diverse environments while performing complex manipulation tasks.

The role requires a strong background in robotics, machine learning, and perception with experience in reinforcement learning, computer vision, and motion planning, plus proficiency in Python and