AI Researcher (All Levels)

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

Position Overview

As a senior AI Researcher/Developer, you will work on exciting projects that target to make the cutting edge deep learning models perform the most with respect to speed and accuracy on the Ascend platform (training), demanding you to apply your full talent to innovate algorithms in your daily work. As either a well-known AI technology evangelizer or a fast-growing AI talent, you are encouraged to communicate with AI professors/researchers/users in academics and industries via top AI conferences/workshops to promote your research results against the Ascend system. Your leadership in AI technology would be fulfilled by nurturing new AI research directions or enriching popular research directions, which would ultimately promote Huawei’s Ascend technologies in a short or long run. Working with a rich pool of AI hardware and software experts at Huawei in Canada and around the world, your research and development activity will become super easy and prolific, which would make you enjoy your achievements at a fast than ever pace and grow your AI credentials exponentially.

Responsibilities

• Track the trend of AI theory and technology development in the world and generate research report and proposals for promoting Ascend system accordingly.
• Lead or participate in research of algorithms in accelerating the training of the market-driven AI models (CV/NLP/GNN/…), reaching/exceeding the state of the art accuracy, and develop a proof of concept of the algorithms. Those algorithms include but are not limited to the following: optimizers, loss functions, new model architecture, mix precision, model compression, learning technologies (e.g., meta-learning), etc.
• Publish relevant high-quality AI research papers when necessary and approved, and attend conferences for increasing public awareness of Huawei’s Ascend products; file high-value patents on critical algorithms/processes that are of potential business gain.
• Team with other departments/teams from Huawei’s global research centers for collaboration.
• Assist the team lead on planning of projects and definition of technology/products development road map.

Qualifications

• Master/PhD in Computer Science, Math/Statistics, focusing on AI & Deep Learning with solid publication records.
• 2+ years working experience in optimizing performance of training deep learning models and/or their applications to CV/NLP/GNN domains.
• Solid skills in programming in Tensorflow/Keras/PyTorch/MXNet.
• Hands-on skills in C++/Python programming.
• Excellent documentation skills in writing internal reports and/or publishing research papers.
• Excellent communication skills in internal and external presentation.
• Working knowledge of AI accelerators or the full stack of AI acceleration system is a strong asset.
• Strong math background in optimization (e.g., gradient descending) is a great asset.

Additional Information

We appreciate all applicants' interest to our position, but as to the high volume of applications, only those selected candidates will be contacted. Thank you!