This is a global IT services company, headquartered in Saudi Arabia with an office in London working across a variety of fields from Computer Vision, Robotics, Consultancy, Digital Business and Investment. They offer a wide range of ready-made and customised digital solutions in many areas. They are on a journey to explore unbound opportunities for development commenced with an innovative idea fuelled by science and technology to bring to life a world of new possibilities. They cultivate innovative solutions to encounter technology and entrepreneurship challenges to develop new services and improve current procedures. They devise new innovative e-services and integrated technological solutions to spark a shift in public and private sectors' performance. Their aim is to contribute to advancing the level of services and localising information technology.
Responsibilities
Researching image level features for downstream vision tasks (including learned and hand crafted features)
Creating sensor data collection software for on site data collection and validating vision algorithms
Optimising vision algorithms for target embedded architectures
Work cross functionally across different departments (e.g. hardware, design, ops and graphics teams)
BSc in Computer Science, Mathematics, Robotics, Machine Learning or something similar
Skills
Experience with Object Detection and Segmentation (Instance or Panoptic) ML architectures
Experience with ML Algorithms and feature creation (e.g. Bayesian, Random forest, MRF/CRF, HMM)
Understanding of Computational Geometry (Rotations, projective geometry, quaternions)
Programming skills in Python, and C++
Machine Learning Framework: TensorFlow or PyTorch
Experience of Traditional Computer Vision and Vision Processing Techniques: Morphology, Connected Components, Segmentation, Feature Descriptors/Tracking
Benefits
Competitive salary
Strong equity
Hybrid-working (2/3) days in a London office
25 days holiday each year
Paid sick leave for physical and mental health needs
Paid maternity, paternity, adoption or shared parental leave
