Machine Learning Engineer, Reinforcement Learning
Job Description
Path Robotics is at the forefront of addressing a trillion-dollar opportunity in the robotics industry, focusing on solving critical challenges in skilled labor shortages. As a Machine Learning Engineer specializing in Reinforcement Learning, you'll be part of a team that's revolutionizing robotic systems through innovative AI solutions. The role combines cutting-edge reinforcement learning with practical robotics applications, requiring expertise in both theoretical ML and hands-on implementation.
You'll work on designing and implementing RL algorithms that enable robots to operate in dynamic, unstructured environments, collaborating with cross-functional teams to create robust solutions. The position involves working with state-of-the-art simulation environments and transferring learned behaviors to real-world robots, requiring a deep understanding of sim-to-real transfer techniques.
The ideal candidate should have advanced education in Computer Science, Robotics, or Machine Learning, with strong practical experience in reinforcement learning and Python programming. You'll be joining a company that values innovation, collaboration, and practical problem-solving, with a culture that emphasizes both technical excellence and supportive teamwork.
Path Robotics offers comprehensive benefits including full medical coverage, flexible PTO, parental leave, and daily free lunch, demonstrating their commitment to employee well-being. The company's location in Columbus, Ohio, positions you at the heart of their robotics innovation center, where you'll work on transformative technologies that bridge the gap between advanced AI and practical industrial applications.
Responsibilities For Machine Learning Engineer, Reinforcement Learning
- Design, implement, and evaluate RL algorithms for robotic control, motion planning, and adaptive behaviors
- Develop and integrate RL policies with robot control systems
- Collaborate with perception teams to fuse RL with vision, depth, and sensor data
- Build and maintain sim-to-real pipelines
- Conduct experiments on physical robots
- Leverage simulation environments for large-scale training
- Improve model efficiency for embedded robotic systems
Requirements For Machine Learning Engineer, Reinforcement Learning
- Master's or PhD in Computer Science, Robotics, Machine Learning, or related field
- Strong knowledge of reinforcement learning algorithms and theory
- Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow)
- Experience with simulation environments (MuJoCo, Isaac Gym)
- Solid understanding of probability, statistics, and optimization
- Experience with training and deploying ML models in production systems
Benefits For Machine Learning Engineer, Reinforcement Learning
- Free lunch every day
- Flexible PTO
- Medical, Dental and Vision insurance with 100% coverage
- 6 weeks paid parental leave plus 6-8 weeks maternity leave
- 401K through Empower
- Paid Referral Bonus
