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;
Moreover, you translate market needs, regulatory requirements, and user behaviour into production-ready function increments for international deployment;
You advance explainability and context modelling to support future voice-based interaction with ADAS functions;
You contribute across the full development lifecycle, from prototyping to series release.
What should you bring along?
Degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications;
Several years of hands-on experience in real world, ML-based ADAS or autonomous driving development;
Strong understanding of state of the approaches in perception, prediction, planning, and end-to-end driving systems;
Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow;
Demonstrated ownership in a serious AD/ADAS, robotics, or large-scale autonomy stack, with clear delivery impact;
Deep expertise in large-scale model development, including training, evaluation, error analysis, and optimisation across different ODDs and markets;
Ability to systematically derive complex function changes and implement them in a production-ready manner, including architecture updates, training strategy decisions, and scene modelling;
Experience in safety-critical or regulated environments is a plus.
Don't forget to mention EuroTechJobs when applying.