Machine Learning Engineer, Robot Learning at Path Robotics

At Path Robotics, we are tackling a massive, trillion-dollar challenge by automating tasks that have historically relied on skilled labor. We believe in solving the hardest problems through innovation, and our team is the driving force behind this mission. Our culture is defined by intelligent, hardworking people who accomplish the impossible while maintaining a kind and humble spirit. We are constantly looking for ways to support one another as we build the future of industrial robotics.

The role

We are looking for a Senior Machine Learning Engineer, Robot Learning to join our AI Manipulation team on a full-time, on-site basis in the United States. In this position, you will focus on building agentic AI systems for industrial applications. You will work alongside cross-functional teams to design, test, and deploy advanced manipulation techniques, motion control systems, and planning algorithms that push the boundaries of what our autonomous robots can achieve.

Core responsibilities

• Design and implement sophisticated manipulation algorithms to improve the performance of our robotic systems.
• Develop and optimize learning-based methods for motion control and planning, ensuring they function effectively across our fleet of industrial robotic cells.
• Apply advanced techniques like behavioral cloning and reinforcement learning, including goal-conditioned models, to solve complex, real-world robotic tasks.

Skills and experience

To be successful in this role, you should possess a strong foundation in robotics and a passion for solving technical challenges. We require the following qualifications:

• A Master's degree or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• Proven experience applying machine learning techniques to fine-grained motor control.
• Strong programming proficiency in C++ or Python.
• Hands-on experience with robotic simulation tools such as Isaac Sim, Gazebo, or Mojoco.
• Deep knowledge of kinematics, dynamics, control theory, and optimization techniques.
• A track record of deploying scalable solutions for autonomous systems and contributing impactful research to the field.

Compensation and benefits

We offer a comprehensive benefits package designed to support your health, well-being, and future. Our perks include:

• Medical, Dental, and Vision insurance, featuring 100% coverage on monthly medical premiums for you and your dependents on select plans.
• 401k retirement savings through Empower.
• Daily free lunch provided at the office.
• Flexible PTO to help you maintain a healthy work-life balance.
• Paid parental leave and a paid referral bonus program.

How to apply

If you are a motivated engineer who thrives on solving complex problems and wants to contribute to the future of robotics, we would love to hear from you. Please submit your application to be considered for this opportunity to join our growing team.