Senior ML Engineer - Next-Generation Autonomous Driving

Senior ML Engineer - Next-Generation Autonomous Driving

BMW Group

Munich, Germany

At BMW’s Autonomous Driving Campus, we develop and scale next-generation perception and planning systems for autonomous driving. You will build production-grade machine learning solutions using one of the industry’s largest real-world driving datasets, powering millions of vehicles worldwide.

What awaits you?

• You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving;
• Furthermore, you co-design cutting-edge software that translates state-of-the-art research into production-ready systems at scale;
• You execute training and evaluation cycles on large-scale datasets, from data curation and representation learning to error diagnosis and model optimization;
• Additionally, you drive the integration of backbone and foundation models into BMW's autonomous driving perception and planning stack, ensuring robustness across diverse markets and operational design domains;
• You evaluate and advance state-of-the-art methods in self-supervised learning, multi-modal fusion, and end-to-end architectures for real-world deployment;
• Furthermore, you contribute across the full development lifecycle, from early-stage research prototyping to series release, with direct impact on customers worldwide.

What should you bring along?

• University degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications;
• Several years of hands-on experience in ML model development for perception, autonomous driving, or comparable vision systems, ideally in an industry setting;
• Strong knowledge of current state-of-the-art approaches in autonomous driving perception, end-to-end architectures, and foundation or backbone model architectures;
• Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow, including training on large-scale datasets and programming skills in Python or C++;
• Demonstrated ownership in a mature AD/ADAS, robotics, or large-scale autonomy stack, with measurable delivery impact;
• Deep expertise in large-scale model development, including training, evaluation, error analysis, and optimisation across different ODDs and markets; experience in safety-critical or regulated environments is a plus;
• A visionary mindset with the ability to anticipate trends, challenge conventions, and drive architectural decisions for next-generation autonomous driving systems.