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Applied Computer Vision Data Scientist
4 months ago
Job Description Computer Vision Data Scientist/Senior Software Engineer
(CNNs and Transformer Networks)
Inspired by theoretical neuroscience, our solutions learn through sensory experience and guide intelligent behavior.
We are seeking passionate Senior Developers and Data Scientists to join our team. You will work on novel Deep-Learning Neural Networks for machine vision applications, serving key clients in the UK public sector and defense and aerospace industries.
Our eDNNs bridge the gap between current Transformer and CNN solutions and future Spiking Neural Networks (SNN). These eDNNs address challenges in computer vision and object recognition, with continuous enhancements from our neuroscience-inspired research.
Your contributions will help achieve our business goals and have a measurable impact.
Enhance software with the latest machine learning/computer vision algorithms.
Apply knowledge of Transformers, CNNs, and image analysis to develop enhanced neural networks.
Contribute to software development and practical problem-solving.
Participate in defining the software development roadmap and delivering core components.
Collaborate with research colleagues and support commercial teams in developing business opportunities.
Meet project milestones and deliverables.
Strong experience in Python and Pytorch
Ability to create and explain customized neural network solutions.
Proficiency in discussing and applying the latest deep learning/computer vision research.
Proven track record in designing and scaling high-quality software.
Experience with Transformer or CNN neural networks for real-time object detection, tracking, segmentation, or pose estimation.
SCRUM or agile development methodology experience.
Familiarity with GANs and synthetic data generation.
Experience with Unreal or Blender and 3D modeling.
Experience with academic/industrial research and UK public sector clients.
Strong academic background; MSc or PhD in computer vision/machine learning.
Publications in top computer vision journals or conferences.
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