Build the Path Forward

At Path Robotics were building the future of embodied intelligence. Our AI-driven systems enable robots to adapt learn and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods combining perception reasoning and control to deliver field-ready AI that is risk-aware reliable and continuously improving through real-world use.

Big hard problems are our everyday work and our team of intelligent humble and driven people make the impossible possible together.

As a Senior 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 Youll 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

• Masters or PhD in Computer Science Robotics Machine Learning or related field or equivalent practical experience.
• Experience developing and deploying reinforcement learning algorithms on real-world systems.
• 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.

Why Youll Love Working Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need when you need it
• Comprehensive medical dental and vision coverage
• 6 weeks fully paid parental leave plus an additional 68 weeks for birthing parents (1214 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuseshelp us grow our team!

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.