<p><strong>About the role</strong></p>
<p>Agile Robots SE is a high-tech startup based in Munich. Our mission is to bridge the gap between AI and robotics by developing robotic systems that offer state-of-the-art full-body force sensitivity and world-leading vision intelligence. This unique combination of technologies enables us to provide intelligent, easy-to-use and affordable robotic solutions with safe human-robot interaction.</p>
<p>We are a dynamic and innovative software development company dedicated to pushing the boundaries of technology. We specialize in creating cutting-edge solutions that transform industries and redefine user experiences.</p>
<p>We are building humanoid robots that work reliably, autonomously, in the real world. As a Reinforcement Learning Engineer, you will own the development of end-to-end control policies for Agile One: from training in simulation to deployment on hardware, across locomotion, manipulation, and whole-body coordination in unstructured environments.</p>
<p>This is a high-ownership role. You will work at the frontier of what's possible with humanoid robots, make decisions with incomplete information, and iterate directly on physical systems. Success in this role requires both technical excellence and the ability to adapt and make decisions under uncertainty.</p>
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<p><strong>Your Responsibilities</strong></p>
<ul>
<li>Design, maintain and deploy scalable, end-to-end training pipelines, including hyperparameter optimization</li>
<li>Transfer control policies from simulation to real robotic hardware</li>
<li>Integrate learned policies into a full-stack robotic system, including perception, planning, and actuation</li>
<li>Analyze robot behavior and learning performance,e and iterate quickly based on real-world results</li>
<li>Evaluate an