Helsing is a defence AI company. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired with high generalisation capabilities and strong robustness against adversarial attacks. 1 Europa, as part of the groundbreaking Centaur project. scale simulation training through to real?time deployment on flight?on experience building, training, and deploying reinforcement learning agents.

You have iterated on a policy beyond simulation and understand what it takes to make learned behaviour reliable in a real operational system. based training, handling of partial observability and long horizons. performance runtime systems, with a solid understanding of the latency and throughput constraints that come with real?Possess solid software engineering skills, writing clean and well?structured code in Python and/or languages like Rust or modern C++, and have experience deploying AI software to production including testing, QA, and monitoring.



Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally. Are passionate about keeping up to date with current research and enjoy reimplementing and extending state?of?the?art approaches in deep reinforcement learning.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under?represented. PhD in Reinforcement Learning, Multi?Agent Systems, Automation and Control, Robotics or a related field, with publications in top?scale distributed RL training frameworks, the infrastructure challenges of running thousands of parallel simulation environments, and gpu?Experience modelling and training multi?play, or decentralised execution with centralised training. Familiarity with flight dynamics, aerospace systems, or guidance, navigation, and control (GNC) concepts.

Experience deploying AI software to safety?critical production systems, including formal verification, testing pipelines, and runtime monitoring. Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure.

📌 Ai Research Engineer - Reinforcement Learning (Barcelona)
🏢 Helsing
📍 Barcelona