Microtech-Global are looking for world class experts in AI-based Image and Video Quality Metrics Research.
Location - Cambridge / London Salary - Competitive Start date - December As an AI researcher contractor, you will invent, implement, and deploy state of the art robust AI algorithms and systems targeted to enhancing existing Game Graphics solutions.
You will be working on projects that builds on cross-domain topics: AI, Computer Vision and Graphics.
You will build prototypes and explore conceptually new solutions.
You will interact closely with both AI and Computer Graphics teams.
A successful candidate should have hands-on experience in at least one AI research domain most preferably Full-Reference Image Quality Metrics, Full-Reference Video Quality Metrics, Non-Reference Image Quality Metrics, Non-Reference Video Quality Metrics.
Key Points: 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.
Key Responsibilities: 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.
Required: 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 you are interested, please apply below or email ******