Machine Learning Engineer

placeOxford descriptionPermanent calendar_month 
Our client is a world leader in high performance software and hardware products, they are looking for an excellent Computer Vision MLE to join the research team.
This opportunity has a particular focus on research innovation.
You will have significant opportunities to drive technical direction, and the potential to provide technical leadership.
Qualifications & Experience
Qualifications

You have relevant academic (research Masters/PhD level) and/or industry experience.

Experience

Extensive experience solving computer vision problems – such as object detection and human pose estimation – with the application of appropriate machine learning methods, such as CNNs and ViTs, in conjunction with non-ML algorithms.
  • Demonstrated experience using leading-edge methods for modelling human and object shape, appearance and movement.
  • Experience providing technical leadership within teams and excellent team working abilities.
  • Track record of using novel techniques for extracting value (building insights) from multi-disciplinary high-fidelity and unstructured data.
  • Examples of working with large spatio-temporal datasets, and machine learning expertise for solving time-series domain issues.
  • Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development and production within a standalone application.
  • Experience with Python and ML toolkits, e.g. PyTorch, Lightning, etc.
Desirable Skills
  • Experience, aptitude, and a desire to work with human motion capture, sport, animation tools and techniques.
  • Relevant conference, journal, or other peer-reviewed output.
  • Familiarity with GPU techniques for image processing and implementation of neural networks.
  • Familiarity with C
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