Senior Machine Learning Engineer - Reinforcement Learning
Path Robotics2 months ago
Responsibilities
- Design, implement, and evaluate reinforcement learning algorithms for robotic control, motion planning, and adaptive behaviors.
- Integrate reinforcement learning policies with robot control systems while accounting for hardware constraints and real-time requirements.
- Fuse reinforcement learning with vision, depth, and sensor data in collaboration with perception teams.
- Build and maintain sim-to-real pipelines using domain randomization and transfer learning.
- Conduct experiments on physical robots and design safety protocols to monitor unexpected behaviors.
- Use simulation environments for large-scale training before real-world validation.
- Improve model efficiency for compute- and latency-constrained embedded robotic systems.
Requirements
- Master’s or PhD in Computer Science, Robotics, Machine Learning, or a 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 such as MuJoCo or Isaac Gym.
- Understanding of probability, statistics, and optimization.
- Experience training and deploying machine learning models in production systems.
Benefits
- The role can be based at the Columbus, Ohio headquarters or worked remotely.
- 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.