Positions (4 in total) 1 x AI Research Engineer in camera based 3D reconstruction from video 1 x AI Engineer planning and prediction; end-to-end vehicle control (end-to-end, Rl, IL, simulation, control) 2x AI Engineer perception/integration ML Engineer in-vehicle perception ML Engineer infrastructure-based perception Tasks Study current state of the art algorithms Propose and implement a flexible and efficient multi-task architecture. Set-up an efficient ML-ops pipeline, including: managing data, training models, evaluation and reporting Create proof of concept to show the real world benefit and inspire others Technical Proficient in Python, C++ (optional) Proficient in PyTorch or Tensor Flow Proficient in Linux, Docker, GIT Experience in cloud computing (e.G. AWS or Azure)