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This listing was closed on Jul 27, 2026.
Browse Open JobsAI Research Engineer - Reinforcement Learning
Summary by AIEngineer.careers
AI Research Engineer - Reinforcement Learning is a AI Research Engineer role (full-time). with Helsing. in BERLIN, DE. Imported listing (source: bulldogjob.pl). Apply on the employer's site (bulldogjob.pl).
Imported listing (source: bulldogjob.pl) · Apply on bulldogjob.pl
BERLIN · DE
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from bulldogjob.pl
Helsing is a defence AI company seeking an AI Research Engineer to develop and deploy reinforcement learning agents for autonomous aerial platforms. You will work on cutting-edge RL techniques, from simulation training to real-time deployment on flight-ready hardware. This role involves owning the full pipeline and collaborating with world-leading experts.
Responsibilities
- Develop and integrate state-of-the-art reinforcement learning agents into operational systems. Build the autonomy brain for a cutting-edge autonomous aerial platform. Own the full pipeline from large-scale simulation training to real-time deployment on flight-ready hardware.
Requirements
- MSc in Reinforcement Learning, Robotics, or related field. Hands-on experience building, training, and deploying RL agents. Familiarity with modern RL techniques (PPO, SAC, population-based training). Solid software engineering skills in Python and/or Rust/C++. Excellent communication skills.
Nice to Have
- PhD in RL or related field, experience with large-scale distributed RL training, multi-agent RL, flight dynamics, safety-critical systems.
Tech Stack
Helsing
München · DE · 900+ employees
Helsing is a defense AI company that provides AI-enabled software and autonomous systems to protect democracies. Its solutions integrate into existing hardware to enhance battlefield awareness and precision across land, air, sea, and electronic warfare domains.
