Computer Vision Engineer

April 5

🔄 Hybrid – London

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Description

• Researching image level features for downstream vision tasks (including learned and hand crafted features) • Creating sensor data collection software for onsite 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

Requirements

• 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

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