Build the Path Forward

At Path Robotics, we’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another. 

As a Machine Learning Engineer focused on Reinforcement Learning, you will design, implement, and optimize RL algorithms that enable intelligent agents to operate in dynamic, unstructured environments.  This role involves working closely with cross-functional teams to design, test, and deploy innovative solutions that improve the performance and capabilities of our robotic systems.

What You’ll Do

• Design, implement, and evaluate RL algorithms for robotic control, motion planning, and adaptive behaviors in dynamic, unstructured environments.
• Develop and integrate RL policies with robot control systems, ensuring compatibility with hardware constraints and real-time requirements.
• Collaborate with perception teams to fuse RL with vision, depth, and sensor data for robust decision-making.
• Build and maintain sim-to-real pipelines, including domain randomization and transfer learning techniques.
• Conduct experiments on physical robots, including designing safety protocols and monitoring for unexpected behaviors.
• Leverage simulation environments (Isaac Gym, Gazebo, MuJoCo, PyBullet) for large-scale training before real-world validation.
• Continuously improve model efficiency to operate within compute and latency constraints on embedded robotic systems.

Who You Are

• Master’s or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent practical experience.
• Strong knowledge of reinforcement learning algorithms and theory.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with simulation environments (e.g., MuJoCo, Isaac Gym).
• Solid understanding of probability, statistics, and optimization.
• Experience with training and deploying ML models in production systems.

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Why You'll Love It Here

• Free lunch every day
• Flexible PTO
• Medical, Dental and Vision insurance with 100% coverage on monthly medical premiums for you and any dependents on select plans
• 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the
  birthing parent (12-14 weeks total)
• 401K through Empower
• Paid Referral Bonus