Job Description

We are looking for an engineer with strong reinforcement learning expertise to build intelligent behaviors for robots, drones, and multi-agent systems. You will develop new RL models, run large-scale training pipelines, and help bring learned behaviors safely into real-world robotic platforms.

What You’ll Do
  • Develop and fine-tune RL algorithms for robotic systems, UAV swarms, and autonomous agents.
  • Build and test multi-agent learning approaches for coordination, conflict resolution, and team-based decision‑making.
  • Create efficient simulation environments and workflows for large‑scale training and sim‑to‑real adaptation.
  • Explore and prototype cutting‑edge RL techniques, hybrid methods, and new learning architectures.
What You Should Know
  • Solid grasp of modern RL methods (policy gradients, Q‑learning, actor–critic, hierarchical RL).
  • Experience working with multi‑agent RL, distributed learning setups, ...

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