Senior Applied AI Architect - Automated Driving

At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together. What awaits you?

• You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development.
• Furthermore, you conduct independent research beyond the state-of-the-art, identify technology gaps and actively contribute to closing them through technical concept and prototype implementations, making use of multilateral industrial and academic partnerships.

• You meet energetic start-ups, have stimulating discussions with leading university researchers, or draft research plans for the relevant product and feature roadmap., Note: Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered. Wir bieten What we offer?

• Challenging projects with which we are shaping the mobility of tomorrow together.
• Wide range of personal and professional development opportunities.
• Attractive, fair and performance-related remuneration.
• High level of job security.
• Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
• Flexible working hours including 6 weeks annual leave and overtime compensation.
• Discounted BMW & MINI conditions.
• Many other benefits at bmw.jobs/benefits

• University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications.
• At least five years of professional experience in developing, deploying, and maintaining AI/ML models in a business or industrial setting.
• Proven success in bringing models from research or prototype stage into productive, value-generating operations. Experienced in working within agile, cross-functional teams with a strong sense of ownership and delivery focus.
• Strong expertise in any or all of the following fields: prediction and perception, planning, end-to-end learning, vision-language-action models, world models for driving, reinforcement learning, fine-tuning of vision-language-models, machine learning safety concepts.
• Hands-on experience with Python-based ML stacks and production environments (training, inference, monitoring).
• Thorough understanding of automated driving functions and their typical software stack.
• Very good written and spoken English skills. Knowledge of German, both written and spoken, is an advantage.