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)