Senior Reinforcement Learning Engineer – Application & Robotics Focus (m/w/d)

<h3>Your mission</h3> <ul><li>Build, train and refine RL-based agents for real-world use (navigation, coordination, decision making)</li><li>Collaborate with embedded teams to deploy models onto drones and other platforms</li><li>Integrate perception, control and reward models into closed-loop systems</li><li>Contribute to fast iteration loops based on field tests and real sensor data</li><li>Work with simulation environments to validate strategies before deployment</li></ul> <h3>Your profile</h3> <ul><li>Strong background in Machine Learning, Reinforcement Learning or Control Theory</li><li>Hands-on experience with at least one RL framework (Ray RLlib, Stable Baselines, etc.)</li><li>Understanding of system dynamics, robotics basics, or embedded deployment</li><li>Python proficiency – C++ or ROS2 experience is a plus</li><li>Curiosity, pragmatism, and readiness to make things work in imperfect real-world settings</li></ul>Nice to have:<ul><li>Experience with SLAM, path planning, multi-agent coordination, or sensor fusion</li></ul> <h3>Why us?</h3> <p>Join us to shape the future of AI-driven defense!<br/><br/>Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway.   <br/>We look forward to receiving your detailed application via our online form.  <br/><br/>The world is changing. Exponential technologies are enabling new types of security threats. We are committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.</p>