AI Research Engineer - Reinforcement Learning
Core
Building the autonomy brain for a cutting-edge autonomous aerial platform (CA-1 Europa) to enable real-time localization, navigation, and perception in semi-autonomous defence systems.
Role type
Senior IC AI Research Engineer (Reinforcement Learning)
Builds
Production RL agents for Unmanned Combat Aerial Vehicles (UCAV) within the Centaur project
Domain
Defence AI / Autonomous Systems / Aerospace
Deliverable
production ML models
Required skills
Reinforcement Learning, Robotics, Automation and Control, Sequential decision-making, Model-free methods (PPO, SAC), Population-based training, Partial observability handling, High-performance runtime integration, Python, Rust, C++, Software engineering, Testing, QA, Monitoring
Preferred skills
PhD in RL/Multi-Agent Systems, Large-scale distributed RL training, Multi-agent controllers (emergent coordination, self-play), Flight dynamics, GNC concepts, Safety-critical system deployment, Formal verification
Technologies
Python, Rust, C++, PPO, SAC, GPU-based simulators
Responsibilities
Develop and integrate state-of-the-art reinforcement learning agents into operational systems; Own the full pipeline from large-scale simulation training to real-time deployment on flight-ready hardware; Implement novel autonomous systems designed from the ground up; Report and present research findings clearly and efficiently
Seniority
Senior, hands-on IC