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Senior Robotic Learning Engineer (m/f/d)
Agilerobotsse · Munich, Bavaria
Publicada em 20/09/2026
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<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>
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<h3 class="TokenisedTypography-module__EzGiEkH0__v6-3-8 TranslationField-module__fieldItemName___Q0F_7">Your Responsibilities</h3>
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<li><strong>System Architecture:</strong>&nbsp;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 &amp; Deployment:</strong>&nbsp;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 &amp; Curation:</strong>&nbsp;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>&nbsp;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>&nbsp;Design scalable systems for collecting both robot-generated data (teleoperation, autonomous rollouts, scripted policies) and human data (egocentric video,
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