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
- Pension
