Machine Learning Engineer, Robot Learning

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. We are seeking a skilled and motivated Machine Learning Engineer with expertise in modern robotics and manipulation to join our Robot Learning team to build agentic AI systems for industrial applications. The ideal candidate will have experience in robotics, with a focus on developing and implementing advanced manipulation techniques, motion control systems, and planning algorithms for autonomous robots. 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 Work on the development and deployment of behavioral cloning (BC), reinforcement learning (RL), and diffusion models to solve complex robotic tasks. Leverage multi‑modal data, including image‑based data, force, and torque to enhance robotic manipulation and control. Design and implement vision‑language‑action (VLA) models for more intelligent and responsive robotic systems. Craft strategies for the entire solution’s lifecycle, including data collection, fleet learning, and continuous learning. Develop, optimize, and deploy learning‑based methods for robot control and object manipulation algorithms on a fleet of industrial robotic cells. Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms. Stay updated with the latest advancements in robotics, control theory, and planning algorithms. Who You Are Ph.D. or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Proven track record in publishing at top conferences (e.g., NeurIPS, ICLR, ICML, CoRL, RLC). Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo). Experience with machine learning techniques applied to robot manipulation. Experience building models from scratch and deploying them in real‑world applications. Experience with pose estimation, segmentation, active perception, and affordance‑based bin picking. Strong programming skills in languages such as C++ or Python. Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo). Proven track record of deploying scalable solutions for autonomous robotic systems. Strong communication skills, with the ability to convey complex technical concepts to a diverse audience. 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 #J-18808-Ljbffr Dormont Manufacturing Co