Das ist der Job
INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.
Darum lohnt es sich
Moreover, you translate market needs, regulatory requirements, and user behaviour into production-ready function increments for international deployme Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving.
But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good. Building autonomous driving systems at production scale takes more than strong model architectures.
It requires robust end-to-end machine learning systems that perform reliably across edge cases, ODD boundaries, and global market conditions.
At BMW's Autonomous Driving Campus, you will help develop and industrialise end-to-end ML-based functions for advanced driver assistance, working with one of the industry's largest real-world driving datasets. What awaits you? You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches. You execute full training and evaluation cycles, from data selection and scene analysis to error diagnosis, validation of new function states for various markets and ODD extensions.
