Senior Robotics Reinforcement Learning Engineer

About the role

The Technology Innovation Institute seeks a Senior Reinforcement Learning Engineer to advance robotics, swarm intelligence, and drone systems. You will design novel RL architectures and integrate them into real-world platforms.

Key responsibilities

• Design, implement, and optimize RL algorithms for robotic platforms, UAV swarms, and autonomous agents.
• Develop multi‑agent reinforcement learning frameworks for coordination and cooperative decision‑making in multi‑drone systems.
• Build efficient training pipelines, manage large‑scale simulations, and ensure successful simulation‑to‑real transfer.

Required profile

• Master’s or PhD in Computer Science, Robotics, AI/ML or related field.
• Proven experience implementing RL solutions for robotics or UAV applications.
• Strong background in multi‑agent systems, swarm robotics, and real‑world control deployment.

Required skills

• Python, C++ programming.
• RL frameworks: Ray RLlib, Stable Baselines3.
• Simulation tools: PyBullet, Isaac Gym, Gazebo, MuJoCo, AirSim.
• AI libraries: PyTorch, TensorFlow, JAX.
• Robotics middleware: ROS2, PX4, MAVSDK.
• Docker, CUDA, GPU clusters, distributed training.