Senior RL Engineer for Robotics - Remote

Path Robotics; Columbus (OH); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Daily free lunch

Flexible PTO

Medical, dental, vision coverage

Parental leave

401(k) Empower

Referral bonuses

Job summary

Path Robotics is seeking a Sr. ML Engineer focused on Reinforcement Learning to design, implement, and optimize RL algorithms for robotic systems. You will work with cross-functional teams to deploy scalable solutions.

This role can be located in Columbus, Ohio Headquarters or Remote, offering flexibility, strong collaboration, and opportunities to impact real-world robotics. Experience in simulations and production ML is valued.

Qualifications

• Master’s or PhD in Computer Science, Robotics, Machine Learning, or 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 (MuJoCo, Isaac Gym).
• Solid understanding of probability, statistics, and optimization.
• Experience with training and deploying ML models in production systems.

Responsibilities

• Design, implement, and evaluate RL algorithms for robotic control and motion planning.
• Develop and integrate RL policies with robot control systems under real-time constraints.
• Collaborate with perception teams to fuse RL with vision and sensor data.
• Build and maintain sim-to-real pipelines with domain randomization and transfer learning.
• Conduct experiments on physical robots and design safety protocols.
• Leverage simulation environments for large-scale training before real-world validation.
• Continuously improve model efficiency for embedded robotic systems.

Skills

Python

PyTorch

TensorFlow

Reinforcement Learning

Robotics

Simulation

Education

Master’s or PhD

Tools

MuJoCo

Isaac Gym

Gazebo

Job description

Path Robotics is seeking a Sr. ML Engineer focused on Reinforcement Learning to design, implement, and optimize RL algorithms for robotic systems. You will work with cross-functional teams to deploy scalable solutions.

This role can be located in Columbus, Ohio Headquarters or Remote, offering flexibility, strong collaboration, and opportunities to impact real-world robotics. Experience in simulations and production ML is valued.