AI Research Engineer - Robotics
Core
Design, train, and deploy reinforcement learning-based controllers for autonomous robots operating in complex, unstructured, and dynamic real-world environments, enabling perception and adaptive control under hardware constraints.
Role type
AI Research Engineer (Robotics, Reinforcement Learning)
Builds
RL-based robot controllers and perception systems for defence applications
Domain
Defence AI / Autonomous Robotics
Deliverable
production ML models
Required skills
Reinforcement Learning (PPO, SAC, TD3, model-based, hierarchical), robot dynamics and kinematics, classical control theory (PID, MPC), physics-based simulation (MuJoCo, Isaac Gym, PyBullet, Gazebo), Python/C++/Rust software engineering, sim-to-real transfer, domain randomisation, curriculum learning
Preferred skills
PhD in Robotics/RL/Control, publications in top-tier venues (CoRL, ICRA, NeurIPS), vision-based perception (depth estimation, visual odometry), low-level motor control interfaces, online adaptation and meta-learning, sensor fusion (IMU, proprioception, exteroception)
Responsibilities
Design and train RL policies for continuous control, develop sim-to-real transfer strategies, build and validate physics-based simulators, deploy AI software to production with testing and monitoring, fuse rich sensory inputs for robust control
Seniority
Senior, hands-on IC
