Machine Learning Engineer, Robot Learning
Path Robotics2 months ago
Responsibilities
- Develop and deploy behavioral cloning, reinforcement learning, diffusion, and vision-language-action models for complex robotic tasks.
- Use image, force, and torque data to improve robotic manipulation and control.
- Design learning-based robot control and object manipulation algorithms for industrial robotic cells.
- Develop lifecycle strategies covering data collection, fleet learning, and continuous learning.
- Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.
- Track advancements in robotics, control theory, and planning algorithms.
Requirements
- Master’s or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
- Proven publication record at conferences such as NeurIPS, ICLR, ICML, CoRL, or RLC.
- Experience with robotic simulation tools such as Isaac Sim and MuJoCo.
- Experience applying machine learning to robot manipulation and building models from scratch.
- Experience deploying machine learning models and scalable solutions for real-world autonomous robotic systems.
- Experience with pose estimation, segmentation, active perception, and affordance-based bin picking.
- Strong programming skills in C++ or Python.
- Strong communication skills for explaining complex technical concepts to diverse audiences.
Benefits
- Daily free lunch.
- Flexible paid time off.
- Medical, dental, and vision coverage.
- Six weeks of fully paid parental leave, plus an additional six to eight weeks for birthing parents.
- 401(k) retirement plan through Empower.
- Employee referral bonuses.
Categories
ML EngineeringRobotics
About Path Robotics
Path Robotics was founded by brothers Andy and Alex Lonsberry with a desire to help fill workforce gaps in the manufacturing industry. At Path Robotics, we understand manufacturers are constantly being asked to do more with less; more reshoring, more demand, and more requirements with less time, less talent, and less tolerance. We’re helping guide the Fourth Industrial Revolution in manufacturing by providing robotic support to help keep up with those challenges. Our welding robots absorb high-volume, repetitive tasks by leveraging AI and machine learning. By doing this, we’re putting humans in safe, productive environments that allows manufacturers to increase productivity and grow their business.