Machine Learning Engineer, Robot Learning at Path Robotics

<h1><span style="color: rgb(0, 0, 0);">Build the Path Forward</span></h1> <p>At Path Robotics, we’re 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.</p> <p>Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.</p> <p><span style="color: rgb(0, 0, 0);">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. </span></p> <h1><span style="color: rgb(0, 0, 0); font-size: 14pt;">What You’ll Do</span></h1> <ul> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Work on the development and deployment of behavioral cloning (BC), reinforcement learning (RL), and diffusion models to solve complex robotic tasks.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Leverage multi-modal data, including image-based data, force, and torque to enhance robotic manipulation and control.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Design and implement vision-language-action (VLA) models for more intelligent and responsive robotic systems.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Craft strategies for the entire solution's lifecycle, including data collection, fleet learning, and continuous learning.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Develop, optimize, and deploy learning-based methods for robot control and object manipulation algorithms on a fleet of industrial robotic cells.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Stay updated with the latest advancements in robotics, control theory, and planning algorithms.</span></li> </ul> <h2><span style="color: rgb(0, 0, 0); font-size: 14pt;">Who You Are</span></h2> <ul> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Ph.D. or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Proven track record in publishing at top conferences (e.g., NeurIPS, ICLR, ICML, CoRL, RLC).</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Experience with machine learning techniques applied to robot manipulation.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Experience building models from scratch and deploying them in real-world applications.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Experience with pose estimation, segmentation, active perception, and affordance-based bin picking.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Strong programming skills in languages such as C++ or Python.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Proven track record of deploying scalable solutions for autonomous robotic systems.</span></li> <li style="color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0);">Strong communication skills, with the ability to convey complex technical concepts to a diverse audience.</span></li> </ul> <h2><span style="color: rgb(0, 0, 0); font-size: 14pt;">Why You'll Love It Here</span></h2> <ul> <li>Daily free lunch to keep you fueled and connected with the team</li> <li>Flexible PTO so you can take the time you need, when you need it</li> <li>Comprehensive medical, dental, and vision coverage</li> <li>6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)</li> <li>401(k) retirement plan through Empower</li> <li>Generous employee referral bonuses—help us grow our team!</li> </ul> <h2><span style="color: rgb(0, 0, 0); font-size: 14pt;">Who We Are</span></h2> <p>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.</p> <p>If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact [email protected]. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.</p> <p>&nbsp;</p> <p>&nbsp;</p>