AI Research Engineer - Reinforcement Learning

Related skills

python reinforcement learning flight dynamics gnc ppo

πŸ“‹ Description

  • Develop and integrate RL agents for autonomous aerial platform in CA-1 Europa/Centaur project.
  • Own the pipeline from large-scale simulation training to real-time deployment on flight-ready
  • Collaborate across European teams and report research findings clearly.

🎯 Requirements

  • MSc in Reinforcement Learning, Robotics, Automation and Control, or related field focused on
  • Hands-on experience building, training, and deploying RL agents; proven transfer from simulation to
  • Deep familiarity with modern RL and multi-agent RL: model-free methods (e.g., PPO, SAC)
  • Experience integrating RL policies into high-performance runtime systems with latency/throughput
  • Solid software engineering: Python and/or Rust/C++, production deployment, testing, QA, monitoring.
  • Excellent communication to present research findings internally and externally.

🎁 Benefits

  • Competitive salary and VSOP options
  • Relocation support: up to €2,500 and 4 weeks temporary accommodation
  • Learning: €500/Β£450 yearly allowance
  • Health & wellness: gym membership and mental health support
  • Social: regular company events and monthly social allowances
  • Enhanced parental leave: 22 weeks paid for primary caregivers and 6 weeks for secondary

🚚 Relocation support

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