Reinforcement Learning Research Engineer – Exploration & Decision Intelligence (m/w/d)
Tasks
- Collaborate with simulation autonomy and AI infrastructure teams
- Define and implement DRL use cases for edge devices
- Deploy machine learning methods to physical devices
- Develop decision making for intelligent behavior and architectures
- Maintain machine learning pipelines
- Research and prototype reinforcement learning algorithms
- Translate RL theory into scalable systems
Perks/Benefits
Skills/Tech-stack
Agent systems | C++ | CARLA | Deep reinforcement learning | Edge Computing | Gazebo | Git | IsaacSim | MLflow | Mujoco | Multi-Agent | Multi-Agent Systems | POMDP | Policy gradients | PyTorch | Python | Q-learning | ROS | ROS2 | Reinforcement Learning | Robotics middleware | TensorBoard | Value iteration
Education
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