Experteer OverviewJoin Helsing to shape autonomous AI for a high-stakes defense platform. You will build and integrate advanced RL agents for real-time flight-ready systems and own the end-to-end pipeline from simulation to deployment. The role sits at the intersection of cutting-edge research and operational autonomy, contributing to a mission-driven team focused on robust, safe, and ethical AI in defence. You will work on a world-class autonomous aerial platform and impact how intelligent systems operate in challenging environments. This is a unique chance to push state-of-the-art in reinforcement learning within a privacy-conscious, science-led pensaciones / Incentivos -

Develop, train, and deploy reinforcement learning agents into operational, flight-ready systems -

Lead end-to-end lifecycle from large-scale simulation training to real-time deployment -

Integrate RL policies with high-performance runtime systems under strict latency requirements -





Collaborate with cross-functional teams to advance the Centaur project and the CA-1 Europa platform -

Experiment with modern RL methods and ensure robustness and reliability in real-world operationsResponsabilidades -

MSc in Reinforcement Learning, Robotics, Automation and Control (or closely related field) -

Hands-on experience building, training, and deploying RL agents with real-world iteration -

Strong knowledge of model-free RL (PPO, SAC), multi-agent RL, and long-horizon decision making -

Experience integrating RL into production AI software with attention to latency and throughput -

Proficient software engineering in Python and/or Rust/C++, including testing, QA, and monitoring -

Excellent communication skills to report research findings clearly -

Active engagement with current research and capability to extend state-of-the-art approaches

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