Machine Learning Engineer

Waterloo, ON, Canada

Job Description

Company Description

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.



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 fulfill your potential and pursue your professional dreams.

  • Do a thorough analysis of cutting-edge technologies in data security and data privacy fields.
  • Prepare and present the result internally in the company to attract interest and approval for projects using those technologies.
  • Analyze, implement, and benchmark machine learning/deep learning-related data security and privacy protection algorithms from published papers/open sources/products;
  • Research and build Proof-of-Concept (PoC) applications leveraging ML/DL algorithms for data security and privacy protection;
  • Perform integration and test procedures and create technical documentation;
  • Participate in the ongoing support of applications and communicate insights to clients that lead to quantifiable business impact;
  • Involving in education and research cooperation with universities and industries.
  • Keeping up-to-date on recent advances in machine learning and data security and privacy fields
Qualifications
  • Master's or Ph.D. degree in Computer Science, or Machine learning related field; or equivalent work experience in the field
  • Extensive knowledge in machine learning, deep learning; good understanding of data security and privacy concepts: encryption, authentication, access control, anonymization, differential privacy.
  • Solid programming skills; good knowledge in developing and debugging in C/C++ and experience with scripting languages such as Python and shell scripts.
  • Experience with deep learning frameworks, e.g. Tensorflow, Pytorch, MxNet
  • Experience with working with and managing Git.
  • Proficiency in Linux environments, docker
  • Good communication and documentation skills
Additional Information

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

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Job Detail

  • Job Id
    JD2078057
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Waterloo, ON, Canada
  • Education
    Not mentioned