Machine Learning Engineer, Reinforcement Learning
Core
Designing and implementing reinforcement learning algorithms to develop intelligent, adaptable robots capable of autonomous complex tasks.
Role type
Machine Learning Engineer (Reinforcement Learning)
Builds
Intelligent robotic systems
Domain
Robotics + Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement learning algorithms (model-free, model-based, multi-task, hierarchical, multi-agent), Python, C++, Deep learning libraries (PyTorch, TensorFlow, JAX), Algorithms and data structures, Software engineering principles, Physics simulation engines
Preferred skills
State-of-the-art machine learning techniques, Extensive industry experience with RL and robotic systems
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications, Design and conduct experiments to train RL models and conduct real-world tests, Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training, Analyze and interpret experimental results, iterating on model design to achieve desired performance, Stay up-to-date with the latest research and advancements in reinforcement learning
Seniority
Mid-to-Senior, hands-on IC