(Senior) AI / Reinforcement Learning Engineer (m/f/d)

Skip to main contentEnglishEnglishBack to all jobs(Senior) AI / Reinforcement Learning Engineer (m/f/d)Germany, Munich (HQ)Full-timePermanent employeeApply for this jobAbout the roleAgile 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.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.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.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.Your ResponsibilitiesDesign, maintain and deploy scalable, end-to-end training pipelines, including hyperparameter optimizationTransfer control policies from simulation to real robotic hardwareIntegrate learned policies into a full-stack robotic system, including perception, planning, and actuationAnalyze robot behavior and learning performance,e and iterate quickly based on real-world resultsEvaluate and benchmark state-of-the-art algorithmsStay updated with the latest research in RL and ILWork autonomously on open-ended, evolving tasksEssential SkillsMaster’s or PhD in robotics, computer science, engineering, or a related fieldProven experience (5+ years) applying RL or IL in physical systems, preferably on high DOF robotsFamiliarity with common RL algorithms (PPO, SAC, ...)Proficiency in Python and/or C++, PyTorch, ONNX, and common RL frameworks (e.g, Stable Baselines 3, RSL-RL) Experience with physics-based simulators (IsaacSim, MuJoCo or equivalent) for large-scale policy trainingStrong understanding of control theory, motion planning, and robot kinematics/dynamicsDemonstrated success in sim-to-real transfer and deploying learning-based policies on physical robotsStrong problem-solving skills and the ability to work independently in uncertain scenariosBeneficial SkillsExperience in training locomotion and locomanipulation policiesExperience in training and deploying on humanoid robotsTrack record of publishing at CoRL, ICRA, RSS, NeurIPS, or ICLRWhat we offerA dynamic high-tech company combined with financial soundness and world-class investors.Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.Lots of development opportunities in the context of our continued growth.Challenging tasks and impactful projects alongside experts that enable professional and personal growth.Corporate Benefits Program that covers health, mobility, and learning with 100€ net per month.Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.About usAgile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and...