We develop the world's most advanced automotive technology and vehicle design with luxury and style.
September 11
🔄 Hybrid – Bay Area
We develop the world's most advanced automotive technology and vehicle design with luxury and style.
• Lead research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment • Provide support and insight to development teams responsible for implementation of machine learning techniques in a native head unit environment • Present and demo research topics to Mercedes-Benz internal groups, and at external events such as academic conferences and tradeshows • Define, interface and manage relationships with other teams within MBRDNA and Mercedes-Benz organizations • Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide • Work in an Agile/Scrum environment to deliver high quality software with a measurable customer value
• Master’s, Computer Science, Electrical Engineering, Math, Statistics, or related fields • 5+ years of relevant work experience • Strong programming and software development skills (Python/C++) • Hands-on experience with implementation, analysis and updating machine learning and AI algorithms in real world products • Good understanding of machine learning fundamentals. Ability to keep up with the bleeding edge of research in the field, understand its ramifications, and immediately apply it to the betterment of our products • Ability to quickly and effectively diagnose issues, evaluate fixes, and propose solutions for statistical data analysis and machine learning techniques (e.g. Regression, Classification, Clustering, Time series, Deep learning) • Strong instincts for efficiency and optimization, with self-motivation to work with colleagues such that only high quality products reach customers' hands • Experience with ML frameworks such a PyTorch and Tensorflow • Understanding of ML workflow: preparing the data, implementing and training ML models, evaluating results, deploying inference on different platforms • Ability to collaborate effectively and pro-actively in cross functional development teams • Experience leading research topics through a full research pipeline: from concept to proof and validation
• Relocation assistance (domestic or international) is not provided for this position
Apply NowAugust 24
August 24