Responsibilities

Develop and innovate Computer Vision, Machine Learning and Multi-Modal Sensing technologies for perception in autonomous systems.
Transform research concepts into working prototypes and work on their integration into autonomous systems.
Support data collection and curation activities.
Liaise and work cooperatively with our global team of experts and engineers.
Mentor undergraduate and graduate engineers.

Minimum Requirements

MSc degree in Computer Vision, Machine Learning or a closely related field.
4+ years of industrial experience in development and delivery of Deep Learning based solutions for perception systems.
Experience of production-grade and high-volume Computer Vision and Machine Learning pipelines for pre-processing, training and deployment.
Excellent knowledge of the state-of-the-art Deep Learning techniques for Computer Vision.
Strong knowledge of Object-Oriented programming and excellent skills in Python programming.
Extensive experience in using major Deep Learning Libraries (e.g., PyTorch, TensorFlow,…) and Computer Vision libraries (e.g., OpenCV, PCL,…).
Very good software engineering practices and familiarity with software development platforms, version control and issue tracking tools.
Excellent verbal and written communication skills in English.

Hands-on experience in developing multi-modal 3D Computer Vision solutions.
Hands-on experience in using classical machine learning techniques.
Good knowledge of neural network optimisation techniques, e.g., quantisation and pruning.
Good knowledge of probabilistic methods for object tracking (e.g., Kalman/Particle Filters, RTS smoothing,…)
Domain expertise in Robotics or Driver Assistance Systems