Chief AI Scientist

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

As a Chief AI Scientist at the Hisilicon, you will have a range of responsibilities including:

• Working closely with head quarter product engineering teams to identify research topics and proposing research projects to solve critical problems in AI solutions and products.
• Researching in some fundamental problems of AI algorithms, developing explainable and plausible mathematical model for clarifying and solving those problems.
• Constantly reviewing relevant AI literature to identify emerging methods or technologies and current best practices.
• Connecting with academics and institutions to build relationships and collaborations. 

Qualifications

• A PhD in a field related to AI and Machine Learning such as: Computer Science, Electronic Engineering, Mathematics, Statistics or Physics.
• In-depth understanding in at least 3 of the following areas: Computing Architecture / NAS / Compiler / Computational graph optimization / Network Compression / Network Optimization / Computer Vision / ASR / NLP / Probabilistic model.  Experience in technology team management.
• Extensive experience in reinforcement learning.
• Proficiency with at least one of following deep learning framework Tensorflow / Pytroch
• Team spirit and problem-solving ability, ability to drive independent work 

Nice to have:

• Solid background in several of the following mathematics fields: Differential Geometry, Geometric Algebra, Linear Algebra, Functional Analysis, Harmonic Analysis, Lie Algebra, Graphical Model, Stochastic Process, Stochastic Analysis.

Additional Information

We thank all applicants for their interest, however only those candidates selected for interviews will be contacted.