Graph Deep Learning-Researcher

Company Description

About Huawei

With 194,000 employees and operating in more than 170 countries and regions, Huawei is a leading global creator and provider of information and communications technology (ICT) infrastructure and smart devices. Integrated solutions span across four key domains – telecom networks, IT, smart devices, and cloud services. Huawei is committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

About Huawei Canada

Huawei Canada focuses on fundamental research and development aimed at solving complex technical problems in emerging technologies like 5G, AI, Human Computer Interaction and Autonomous Driving. With ongoing research initiatives with 10 Universities across Canada and strategic collaboration agreements with several Universities, we support Canada’s rich research community.  In 2020, Huawei Canada ranked among the Top 20 corporate R&D investors in the country with a huge 40% increase in R&D investment year over year. Huawei Canada was established in 2008 and now has a total workforce of 1,200 in our six research centers across Canada.

Why work with Huawei Canada?

You will have the opportunity to work on real world problems that impact people across the globe.  Many of our researchers are actively involved in publishing conference and journal papers, inventing patents and solving challenging technical problems. With cutting edge tools, access to highly specialized leaders and researchers, and significant funding, you will be well supported to fulfil your potential and pursue your professional dreams.

Job Description

Noah's Ark Lab is seeking a talented ML researcher to join our Graph Deep Learning team. Researchers in this role will apply cutting-edge research to solve impactful real-world problems, publish at top-tier conferences, and invent patents.

• 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)
• Apply your research and implement optimized algorithms for real-world problems that affect relations of millions of entities (users, products, persons, or transactions)
• Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports
• Contribute to the design, implementation, test, and maintenance of research and development frameworks
• Collaborate with researchers and developers across teams and projects

Qualifications

• 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)
• 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)
• Publication record at top-tier ML/AI conferences such as NeurIPS, ICML, ICLR, KDD, etc.
• Experience with Large-scale training, evaluation, and deployment designs and procedures
• 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

Additional Information

Huawei Canada is committed to providing valuable opportunities to both undergraduate and graduate students.

Working with us provides you the opportunities to integrate theoretical knowledge with practical skills, to network with world leading professionals, and most importantly, to experience the cutting-edge technology before everyone else.