Experteer Overview

¿Está pensando en solicitar este empleo? No se demore, desplácese hacia abajo y envíe su solicitud lo antes posible para no perder la posibilidad.

Join 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 culture.

Compensaciones / Beneficios

- 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 operations

Responsabilidades

- 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 xugodme 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

Requisitos principales

- Competitive salary
- VSOP options
- Relocation support
- Learning allowance
- Health u0026 wellness (gym, mental health support)
- Parental leave and remote work options

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