Senior AI Research Engineer

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du lernbasierte Modelle für Roboter, führst Experimente durch und wertest die Leistung der entwickelten Systeme aus, während du eng mit interdisziplinären Teams zusammenarbeitest. Job Zusammenfassung In dieser Position entwickelst du lernbasierte Modelle für Roboter, führst Experimente durch und wertest die Leistung der entwickelten Systeme aus, während du eng mit interdisziplinären Teams zusammenarbeitest. Deine Rolle im Team The AI Research Division of Agile Robots is looking for a Senior AI Engineer with strong experience in learning-based methods for robotics and sequential decision-making, focused on developing predictive and learning-based components for embodied systems in collaboration with robotics, perception, and systems teams. Research and develop learning-based models for robotic and embodied systems. Design, train, and evaluate predictive or dynamics-related models. Integrate learned models with control, planning, or policy-learning pipelines. Design robotic experiments and conduct scientific evaluation of model performance. Collaborate closely with Robotics, Perception, and Systems teams. Contribute to publications, prototypes, and technology transfer into products. Unsere Erwartungen an dich Qualifikationen Strong background in sequential prediction, dynamics modelling, or model-based learning. MSc or PhD in Robotics, AI, Computer Science, or a related field. Publications or preprints in top-tier ML or robotics venues such as NeurIPS, ICLR, ICML, CoRL, RSS, or ICRA. Familiarity with transformer-based or diffusion-based sequence models. Erfahrung Minimum of 4 years of professional experience in AI, deep learning, and/or robotics. Demonstrated experience building and training deep learning models for temporal data such as video, trajectories, or state sequences. Solid Python programming skills and hands-on experience with PyTorch. Hands-on experience with robotic systems or embodied agents. Experience with latent dynamics models, model-based reinforcement learning, or predictive control. Prior experience applying machine-learning methods in robotics contexts. Benefits Gesundheit, Fitness & Fun 🎳 Team Events Work-Life-Integration 🚌 Gute Anbindung Themen mit denen du dich im Job beschäftigst Machine Learning AI Robotics Metadaten Level: Senior Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Elektronik, Automatisation Ort: München | Deutschland

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