Machine Learning Engineer, Robot Learning

The Robot Age; Columbus, Northern (OH, KY); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Path Robotics in Columbus, OH is hiring a machine learning engineer for its robot learning team. The role focuses on modern robotics and manipulation, including motion control, planning, and learned approaches for autonomous industrial robots.

You will work on embodied intelligence for heavy industry, building robot-learning systems, evaluating planning and control methods, and collaborating with cross-functional teams to translate model behavior into real robot performance and tangible outcomes

Qualifications

• Experience with robotics, ML, manipulation, or motion planning.
• Ability to implement and test methods on robot systems.
• Comfort with modern ML tooling and practical industrial constraints.
• Interest in embodied AI problems that must work outside a lab demo.

Responsibilities

• Build robot-learning systems for manipulation and industrial task execution.
• Develop and evaluate planning, control, and learning approaches.
• Work with cross-functional teams that connect models to robot performance.
• Improve reliability for AI-driven systems operating in real production settings.

Skills

Robotics experience

Machine learning

Motion planning

Embodied AI

Job description

What the role actually is

Path Robotics is hiring a machine learning engineer for its robot learning team. The role focuses on modern robotics and manipulation, including motion control, planning, and learned approaches for autonomous industrial robots.

The listing frames Path's work as embodied intelligence for heavy industry. This is a technical role, but it is tied directly to making robots adapt and perform in customer environments.

What you would work on

• Build robot-learning systems for manipulation and industrial task execution
• Develop and evaluate planning, control, and learning approaches
• Work with cross-functional teams that connect models to robot performance
• Improve reliability for AI-driven systems operating in real production settings

What they are asking for

• Experience with robotics, machine learning, manipulation, or motion planning
• Ability to implement and test methods on robot systems
• Comfort with modern ML tooling and practical industrial constraints
• Interest in embodied AI problems that must work outside a lab demo

Why this one is worth a look

Industrial robotics is a useful proving ground for robot learning because tasks are constrained but still messy. Path's focus on welding and heavy manufacturing gives the work a concrete path from model behavior to economic value.