Senior Machine Learning Engineer - Reinforcement Learning
Path Robotics1 day ago
Responsibilities
- Design, implement, and evaluate RL algorithms for robotic control and adaptive behaviors.
- Develop and integrate RL policies with robot control systems under hardware constraints.
- Collaborate with perception teams to enhance decision-making using sensor data.
- Build and maintain sim-to-real pipelines for training and validation.
- Conduct experiments on physical robots, ensuring safety and monitoring behaviors.
- Utilize simulation environments for large-scale training before real-world application.
Requirements
- Master’s or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent experience.
- Experience with reinforcement learning algorithms in real-world applications.
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Familiarity with simulation environments such as MuJoCo and Isaac Gym.
- Strong understanding of probability, statistics, and optimization techniques.
- Experience in training and deploying ML models in production systems.
Benefits
- Daily free lunch to foster team connection.
- Flexible PTO for work-life balance.
- 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.