AI/ML Engineer
Role details
Job location
Tech stack
Requirements
Master or Ph.D. in computer science, machine learning or related field Excellent analytical skills and a good mathematical background Professional experience in at least one of the following: Deep neural networks and other state of the art ML techniques for perception, segmentation, fusion, prediction and planning, or other related applications Active, reinforcement learning, imitation learning Time series prediction with modern ML techniques Model, rule and learning based decision making ML techniques CNN, RNN, Transformers Systematic, goal and outcome-oriented working style Plus good knowledge in: Professional experience in AI development frameworks PyTorch Professional Skills in Python, C++ English skill both in oral and written Experience in handling datasets and data science methods Understanding of edge processing / Embedded AI and related methods like RUST is a plus Experience in developing software as part of a team and Git, continuous integration tools and an agile development process Experience with automotive products in ADAS/AD, perception Proven track record of publications in relevant conferences (CVPR, NIPS, ICCV, ICRA, Fusion, and others…) and scientific background on relevant topics