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Researcher - Graph Machine Learning

Company

Huawei Technologies Canada Co., Ltd.
Address Markham, Ontario, Canada
Employment type FULL_TIME
Salary
Category Telecommunications
Expires 2023-09-14
Posted at 9 months ago
Job Description
Our team has an immediate 12-month contract opening for a Researcher.


Responsibilities:


  • Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports
  • Apply your research and implement optimized algorithms for real-world problems that affect relations of millions of entities (users, products, persons, or transactions)
  • Collaborate with researchers and developers across teams and projects
  • Apply cutting-edge research to solve impactful real-world problems, publish at top-tier conferences, and invent patents
  • Contribute to the design, implementation, test, and maintenance of research and development frameworks
  • Research and develop innovative ML models with applications on graph structured data (such as social/transaction/telecommunication networks, recommender systems, and dynamic and knowledge graphs)


Job requirements


What you'll bring to the team:


  • Publication record at top-tier ML/AI conferences such as NeurIPS, ICML, ICLR, KDD, etc.
  • Experience with graph data (knowledge graphs/dynamic graphs) domains, Graph Neural Network models/tasks, and training and evaluation algorithms (node/edge- and graph-level); Graph DL frameworks (PyTorch Geometric, DGL, and/or NetworkX)
  • Experience with Large-scale training, evaluation, and deployment designs and procedures
  • Good knowledge and experience with semi- and self-supervised learning methodologies (Contrastive, Predictive, and Generative) in any data modality (e.g. Vision, Language, or Speech)
  • Keeping up-to-date on selected areas of ML (such as graph representation learning, dynamic and knowledge graphs, and deep learning)
  • Ability to learn and grow in a collaborative research and development environment; communicate and develop solutions for complex learning problems