Robotics ML Engineer — Real-World AI on Physical Robots

Kiefer; Ohio; On-site; USD 110,000 - 160,000; Full time

Job summary

KIEFER is seeking an ML Engineer to develop capabilities for physical robots. You will take ideas from model experiments through robotics integration and evaluation on real hardware, working with Unitree Go2, G1, H1, and B2 robots on Jetson platforms.

The role emphasizes navigation, perception, and robot behavior, applying imitation learning, reinforcement learning, and vision-language-action methods. You will build data pipelines and collaborate with ML, robotics, and product teams to move

Qualifications

• 3+ years of ML or robotics experience
• Hands-on experience with ML-enabled systems on physical robots
• Strong Python and robotics tooling experience (ROS or similar)
• Experience with robotics data, simulation, and real hardware evaluation

Responsibilities

• Develop, train, adapt, and evaluate models for navigation, perception, planning, and robot behavior
• Apply imitation, reinforcement learning, or vision-language-action approaches
• Build data collection and evaluation pipelines from real and simulated robotics data
• Integrate models with robotics software, sensors, actuators, and control systems
• Test on physical robots, measure performance and reliability
• Collaborate with ML, engineering, robotics, and product teams to move prototypes to deployment

Skills

Python

ROS

Machine learning

Robotics integration

Latency debugging

Tools

Jetson

Job description

KIEFER is seeking an ML Engineer to develop capabilities for physical robots. You will take ideas from model experiments through robotics integration and evaluation on real hardware, working with Unitree Go2, G1, H1, and B2 robots on Jetson platforms.

The role emphasizes navigation, perception, and robot behavior, applying imitation learning, reinforcement learning, and vision-language-action methods. You will build data pipelines and collaborate with ML, robotics, and product teams to move