Senior Machine Learning Engineer, Reinforcement Learning
Path Roboticsabout 3 hours ago
Responsibilities
- Design, implement, and evaluate RL algorithms for robotic control and adaptive behaviors.
- Develop and integrate RL policies with robot control systems.
- Collaborate with perception teams to enhance decision-making using sensor data.
- Build and maintain sim-to-real pipelines with domain randomization techniques.
- Conduct experiments on physical robots, ensuring safety protocols are followed.
- Leverage simulation environments for large-scale training before real-world validation.
- Continuously improve model efficiency for embedded robotic systems.
Requirements
- Master’s or PhD in Computer Science, Robotics, Machine Learning, or related field.
- Experience developing and deploying reinforcement learning algorithms in real-world systems.
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Experience with simulation environments such as MuJoCo and Isaac Gym.
- Solid understanding of probability, statistics, and optimization.
- Experience with training and deploying ML models in production systems.
Benefits
- Daily free lunch to foster team connection.
- Flexible PTO for personal time off.
- Comprehensive medical, dental, and vision coverage.
- 6 weeks fully paid parental leave, with additional time for birthing parents.
- 401(k) retirement plan through Empower.
- Generous employee referral bonuses.