Senior Robotic Learning Engineer (m/f/d)

<div class="TranslationField-module__fieldItem___g4pRX"> <p><strong>The AI Teams at Agile Robots</strong> are looking for a <strong>Senior Robotic Learning Engineer (m/f/d)</strong>, who will architect the full pipeline that turns raw robot and human data into deployed foundation models, from collection through post-training to on-robot deployment.</p> </div> <div class="TranslationField-module__fieldItem___g4pRX"> <h3 class="TokenisedTypography-module__EzGiEkH0__v6-3-8 TranslationField-module__fieldItemName___Q0F_7">Your Responsibilities</h3> <ul> <li><strong>System Architecture:</strong> Own how collection, generation, augmentation, annotation, valuation, and evaluation fit together as one coherent data-to-model pipeline, and prioritize engineering investment where it most improves model performance.</li> <li><strong>Model Evaluation & Deployment:</strong> Integrate post-training and evaluation frameworks, in simulation and on real hardware, and own the path to reliable, automatic deployment on robotic platforms.</li> <li><strong>Data Valuation & Curation:</strong> Develop methods and metrics to assess data quality and value — diversity, coverage, redundancy, task relevance — and use them to guide what gets collected, kept, or discarded.</li> <li><strong>Data Generation:</strong> Build synthetic and simulation-based data generation pipelines, including real-to-sim-to-real transfer, procedural task and scene generation, and generative models, to scale training data beyond physical collection alone.</li> <li><strong>Data Collection:</strong> Design scalable systems for collecting both robot-generated data (teleoperation, autonomous rollouts, scripted policies) and human data (egocentric video, demonstrations) to train imitation learning and VLA models.</li> <li><strong>Cross-Team Collaboration:</strong> Partner with research scientists, robotics engineers, and infrastructure teams to translate model and research needs into production data and evaluation systems.</li> </ul> </div> <div class="TranslationField-module__fieldItem___g4pRX"> <h3 class="TokenisedTypography-module__EzGiEkH0__v6-3-8 TranslationField-module__fieldItemName___Q0F_7">Essential Skills</h3> <ul> <li><strong>Background:</strong> Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related field, or an equivalent combination of formal training and professional experience.</li> <li><strong>Professional Experience:</strong> 5+ years in robotics, autonomous driving, machine learning, or data engineering, with demonstrated ownership of systems spanning multiple pipeline stages, not a single component.</li> <li><strong>Robot Learning:</strong> Hands-on experience with imitation learning, Vision-Language-Action models, robot foundation models, reinforcement learning, or other learning-based approaches to robotics.</li> <li><strong>Programming:</strong> Software engineering proficiency in Python sufficient to build production-grade, reliable systems rather than research prototypes; familiarity with C++ is a plus.</li> <li><strong>Systems-Level Thinking:</strong> Ability to reason about how a decision at one pipeline stage — what data is collected — affects outcomes at another, such as model performance or evaluation results, and to design across those boundaries.</li> </ul> </div> <div class="TranslationField-module__fieldItem___g4pRX"> <h3 class="TokenisedTypography-module__EzGiEkH0__v6-3-8 TranslationField-module__fieldItemName___Q0F_7">Beneficial Skills</h3> <ul> <li><strong>Simulation:</strong> Experience with simulation platforms such as Isaac Sim or MuJoCo for synthetic data generation and sim-to-real transfer.</li> <li><strong>Data Valuation Techniques:</strong> Familiarity with active learning, coreset selection, influence functions, or other methods for quantifying training data value.</li> <li><strong>Human Data Collection:</strong> Experience with egocentric data collection, AR/VR devices, hand tracking, or teleoperation frameworks for embodied AI.</li> <li><strong>Data Systems:</strong> Experience designing and operating large-scale data pipelines — collection, storage, processing, labeling — for machine learning training.</li> <li><strong>Deployment & MLOps:</strong> Experience with model serving, edge or real-time inference, or cloud-based deployment infrastructure.</li> </ul> </div><div class="content-conclusion"><h3 class="TranslationField-module__fieldItemName___Q0F_7 TranslationField-module__aboutUsWrapper___WXJpq"><strong>What we offer</strong></h3> <ul> <li> <div>A dynamic high-tech company, combined with financial soundness and world-class investors.</div> </li> <li> <div>Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.</div> </li> <li> <div>Lots of development opportunities as we continue to grow.</div> </li> <li> <div>Challenging tasks and impactful projects alongside experts that enable professional and personal growth.</div> </li> <li> <div>Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.</div> </li> <li> <div>Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment</div> </li> </ul> <p> </p> <h3><strong>About us</strong></h3> <div class="TranslationField-module__fieldItemValue___c0djd"> <p><strong>Agile Robots SE</strong> is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than <strong>3500</strong> 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 affordable robotic solutions that enable intelligent precision assembly. </p> <p>This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!</p> <p>We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.</p> </div> <p> </p></div>

Find Jobs in Germany on Arbeitnow