Machine Learning Engineer

Beschreibung

Job Zusammenfassung In diesem Job entwickelst du Machine Learning-Modelle für autonomes Fahren, arbeitest an Datenpipelines und Architekturen und implementierst Systeme in Echtzeit für komfortable Fahrerlebnisse. Job Zusammenfassung In diesem Job entwickelst du Machine Learning-Modelle für autonomes Fahren, arbeitest an Datenpipelines und Architekturen und implementierst Systeme in Echtzeit für komfortable Fahrerlebnisse. Deine Rolle im Team As an ML Engineer within the Application Engineering team, you'll lead critical initiatives that push the frontier of model-based autonomous driving-both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration. You'll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You'll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production. Unsere Erwartungen an dich Qualifikationen Extensive and proven track record of shipping deep learning systems to production. Expert in deep learning (esp. sequential models, control, planning, or perception). Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices. Ability to lead technical initiatives across teams, drive alignment, and mentor engineers. Prior work in autonomous driving, imitation learning, or trajectory prediction. Familiarity with personalization, human behavior modeling, or driver intent inference. Erfahrung Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components. Experience integrating ML systems into production hardware or multi-agent simulation. Themen mit denen du dich im Job beschäftigst Machine Learning AI Autonomous Driving Metadaten Level: Senior Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Startup Branche: Internet, IT, Telekom Ort: Leonberg | 71229 | Deutschland

Tech Stack