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Deep Learning Research Engineer ( Data Security)

Huawei Technologies Canada Co., Ltd.

This is a Contract position in Vancouver, ia posted August 7, 2021.

Company Description About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.

With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

At Huawei, innovation focuses on customer needs.

We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward.

We have more than 180,000 employees, and we operate in more than 170 countries and regions.

Founded in 1987, Huawei is a private company fully owned by its employees.

About Huawei Canada Huawei Canada helps connect Canadians to world-leading high-speed wireless Internet – and supplies them with cutting-edge smart devices.

In partnership with Canadian telecommunications providers, we work to bring the benefits of a reliable and secure digital experience to every person, home and organization, including those in rural and remote areas of the country.

Huawei first came to Canada in 2008.

Today, the company employs more than 1,100 Canadians in research and development, IT, sales and other fields.

Huawei Canada is an active supporter of many charitable and community initiatives from coast to coast.

Job Description Research, build, debug, and deploy deep-learning algorithms for DNN security Write design and test documents Research, communicate, and document state-of-art in academia in AI security.

Qualifications Master’s or Ph.D.

degree in Computer Science, Electrial and Computer Engineering, or related fields Extensive knowledge in deep learning ( Must Have) Experience with deep learning frameworks, e.g.

Tensorflow, Pytorch ( Must Have) Solid Python programming skills (Must Have) Good understanding of security concepts: authenticated encryption, public key cryptography, TLS, digital signatures, blockchain Experience with cryptographic libraries (e.g.

OpenSSL, GMP) Experience with working with and managing Github.

Proficiency in Linux environments Good communication and documentation skills Nice To Have Knowledge of Adversarial Machine Learning Knowledge of model re-training/fine tuning