Posted in: Engineering in Oxford | Posted: |
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
