Robotics ML Engineer: Real-World Learning in Production

Primis; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Primis in Columbus, OH is seeking a Machine Learning Engineer to build the learning systems behind autonomous industrial robots. This hands-on, deployment-first role moves behavioral cloning, reinforcement learning, diffusion and vision-language-action models from research to live robotic cells running in production.

You'll work with real-world vision and force/torque data, integrating manipulation and planning into production platforms and collaborating with hardware and software teams to push

Qualifications

• PhD or Master's in robotics, mechanical/electrical engineering, CS or related field.
• Publication track record at top venues (NeurIPS, ICML, etc.).
• Hands-on ML for robot manipulation essential.
• Experience deploying scalable autonomous robot systems.
• Proficiency in Python and/or C++, and ability to explain ideas clearly.

Responsibilities

• Develop and deploy learning-based methods for robot control and manipulation across robotic cells.
• Utilize multi-modal data (images, force/torque) to improve reliability and adaptability.
• Design/build vision-language-action models; manage data collection and fleet learning.
• Collaborate with hardware/software teams to integrate planning algorithms into production.

Skills

Hands-on ML for robot manipulation

Python/C++ programming

Deploying ML to real-world robotics

Communicating complex ideas

Experience with robotics simulation

Pose estimation / perception / bin-ptr

Education

PhD or Master's in Robotics / related field

Tools

Isaac Sim

MuJoCo

Job description

Primis in Columbus, OH is seeking a Machine Learning Engineer to build the learning systems behind autonomous industrial robots. This hands-on, deployment-first role moves behavioral cloning, reinforcement learning, diffusion and vision-language-action models from research to live robotic cells running in production.

You'll work with real-world vision and force/torque data, integrating manipulation and planning into production platforms and collaborating with hardware and software teams to push