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.
What should you bring along?
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.
Don't forget to mention EuroTechJobs when applying.