Agilerobotsse · Munich, Bavaria
Skills: Python
<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 an …truncated… soundness an…
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