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Artificial Intelligence Researcher

microTECH Global LTD
Cambridge
10 months ago
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Principal AI Research Scientist – Natural Language Processing

AI Researcher (Contract)

Location – Cambridge (Onsite)


Job Purpose:

  • Be responsible for researching Image and Video Quality Metrics solutions targeted for real-time mobile game rendering.
  • Integrate AI algorithms targeted for enhancing Computer Graphics pipeline both in efficiency and quality.


Responsibilities:

AI Researcher you will:


  • Research and develop new Image and Video Quality Metrics for different types of game graphics distortions.
  • Researching, designing and developing comparison studies between Full-Reference vs Non-Reference vs Partial-Reference metric methods.
  • Tackling technical challenges and reshaping AI research solutions to become product compatible solutions.
  • Identify new AI technologies and plan for future projects and product solutions.
  • Contribute to project requirements and understand AI product deployment tradeoffs.
  • Establishing and creating datasets that meet product deployment scenarios.
  • Assess our algorithm solution robustness under different deployment scenarios.
  • Analyse and improve efficiency and performance of solutions for either cloud or on-device deployment.
  • Documenting and reporting progress to your team/senior management and to cross-location/functional teams.
  • Collaborate with cross-functional/location managers, researchers and engineers.


Background and Experience:


  • Master/PhD degree in Machine Learning/Computer science/computer vision or related technical domain.
  • 4+ years of industry experience working on projects in: computer vision, image and video quality metrics, deep learning, machine learning, graphics.
  • Expertise in AI, Machine Learning and Deep Learning
  • Experience developing systems for manipulating image/video and multi-modality content.
  • Experience in collecting, cleaning and creating datasets for AI model development.
  • Minimum 5+ years’ experience in at least one of the deep learning frameworks (e.g., Tensorflow, Caffe2, Pytorch, MxNet, Torch, etc.).
  • Record of publications in top-tier conferences: CVPR, ECCV/ICCV, SIGGRAPH, BMVC, NeurIPS, ICML, ICLR.


If this is of interest to you, please contact me by email or apply below.

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