Senior Machine 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

At Huawei Noah’s Ark Lab Montreal, we are building a world-class group of researchers and engineers to develop cutting-edge AI technologies for modern telecommunication and cloud systems (including but not limited to 5G, 6G and the next generation cloud). We dare to challenge the most fundamental and difficult problems of the real-world systems, and aim to deliver revolutionary AI solutions that benefit billions of people around the globe. As such, this position requires you to think big and bold, while having your feet on the ground and getting your hands dirty.   

You will be responsible for:

• Contributing to the synthesis of new approaches/designs to improve the performance of telecommunication and cloud systems
• Proposing and developing advanced AI/ML models to address the real-world issues of communications and networking
• Translating mathematical problem definitions and model/solution specifications into efficient executable code
• Conducting experiments on large-scale data sets to verify and evaluate the proposed ideas and solutions
• Keeping track of the latest progresses in the (selected) AI/ML areas (e.g., transfer learning, federated learning and distributed learning), as well as telecommunication and cloud areas (e.g., mm-Wave and NFV)
• Publishing or contributing to the publish of research papers in top-tier AI/ML and communications/networking venues
• Proposing high-impact intellectual properties (e.g., patents)
• Generating organized technical reports
• Working closely with the team, as well as other Huawei units (if needed)

Qualifications

• A Ph.D. degree in Computer Science, Electrical and Computer Engineering, Communications, Statistics, Applied Mathematics, or a related field; or a master degree with 4+ years of work experience in the related fields
• Preferably 2+ years of work experience in AI/ML or telecommunications
• Good understanding of Deep Learning (DL) components (e.g., regularization, generalization and batch normalization), and DL paradigms (e.g., supervised/unsupervised learning, reinforcement learning, representation learning)
• Familiar with the common Neural Network (NN) structures (e.g., CNNs, RNNs, GNNs, AEs), and master at least one of them
• Publications in high-quality AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI) and/or top communications/networking venues (e.g., SIGCOMM, INFOCOM, NSDI, ToN, JSAC, TWC)
• Strong AI/ML coding skills; experienced with Tensorflow or Pytorch
• Research experience on AI/ML for telecommunication and networking is a big plus
• Project experience in transfer learning, meta learning, federated learning or distributed learning is a plus
• Good communication skills, willingness to collaborate