About the position
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 highly skilled and motivated Machine Learning Engineer for our Weld Intelligence team. This role is pivotal in developing advanced AI-driven perception systems to support welding robots with navigation, welding parameter regulation, and quality control. The ideal candidate will have a robust background in reinforcement learning, model integration, and real-world deployment. Working alongside cross-functional teams, you'll contribute to the design, testing, and deployment of innovative AI solutions to enhance robotic precision in industrial welding applications.
Responsibilities
- Work on the development and deployment of reinforcement learning (RL) algorithms to solve complex robotic tasks
- Develop vision-based perception systems tailored for welding robots, enabling navigation and regulation of welding parameters.
- Develop, optimize, and deploy RL-based methods for motion control and planning algorithms in industrial robotic cells.
- Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.
- Conduct simulations and real-world testing to validate the performance of manipulation, control, and planning algorithms.
- Analyze and troubleshoot issues related to manipulation, motion control, and planning in robotic systems.
- Stay updated with the latest advancements in robotics, control theory, reinforcement learning, and planning algorithms.
Requirements
- 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. CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoLR).
- Expertise in deep learning and reinforcement learning techniques.
- Strong programming skills in languages such as C++ or Python.
- Experience with robotic simulation tools (e.g., Isaac Sim, Gazebo, MuJoCo).
- Solid understanding of control theory, kinematics, dynamics, and optimization techniques for robotics.
- Familiarity with sensors, actuators, and robotic hardware components.
- Proven track record of deploying scalable solutions for autonomous robotic systems.
- Proven track record of publishing impactful work in the robotics field.
- Excellent problem-solving skills and the ability to work both independently and in a team environment.
- Strong communication skills, with the ability to convey complex technical concepts to a diverse audience.
Benefits
- 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
