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Senior Computer Vision Engineer at Brarista

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  • London
  • fulltime
  • ₤46000 - ₤55000 per year

Key Tasks/Responsibilities

  • Lead role in the full-cycle development of perception algorithms for a computer vision module
  • Research and tackle challenging computer vision problems across various application scenarios
  • Creating optimised architectures for the algorithms to run on efficiency
  • Design and implement practical solutions using both our proprientry and real-world datasets
  • Collaborate with other research talents as well as top-tier engineers under Agile methodologies

Technical skills:

  • You have a MS, or PhD (including pursuing) in Computer Science or a related technical field, or equivalent experience
  • MSc and 3+ industry experience or PhD and research experience in computer vision related areas
  • Proficiency in Python, C++ programming
  • Strong understanding of Mathematics fundamentals such as 3D Geometry, Vectors, Matrices
  • 3D Computer Vision and Deep Learning

Essential skills/experience:

  • Experience using scientific libraries/frameworks; PyTorch, Caffe, TensorFlow, OpenCV, CUDA
  • Good sense of writing high quality code, code-reviewing, continuous integration methodologies and version control systems such as git
  • Experience in linux based systems
  • Deployment of vision algorithms in AWS
  • Proficient with state-of-the-art object detection algorithms
  • Portfolio or display of personal projects with ML, publications, conference presentations or patents
  • Optimisation and parallel processing
  • Excellent problem-solving skills
  • Interpersonal experience: cross-group and cross-culture collaboration
  • A confident communicator who enjoys helping the wider team
  • Willingness to grow

Desirable (not required) skills:

  • Experience or understanding of early-stage tech startups
  • General knowledge of bra sizing and shapes
  • Knowledge of bra-fitting

Contract length: 12 months

Expected start date: 25/10/2021

Salary: £46,000.00-£55,000.00 per year

COVID-19 considerations:
Our serviced office is regularly cleaned by on-site operators, ensuring communal areas and touch points are cleaned regularly.

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