Co-op Engineer - Machine Learning

Huawei Technologies Canada Co., Ltd.; Southwestern Ontario; On-site; CAD 40,000 - 60,000; Full time

Job summary

A leading technology company in Ontario is looking for a Co-op Engineer to develop programs for mobile and desktop devices. Ideal candidates are currently enrolled in a university co-op program and possess excellent programming skills in C/C++ and Python. Familiarity with Linux and a strong understanding of machine learning are essential. Join a collaborative team focusing on cutting-edge digital trust research.

Qualifications

• Currently enrolled in a university and registered with the school’s co-op program.
• Strong programming skills in C/C++ and Python (Pytorch).
• Familiarity with Linux, Windows, and GitHub.

Responsibilities

• Develop a program on a mobile device or desktop device.
• Understand machine learning mechanisms and model training.
• Communicate and collaborate efficiently with other researchers.

Skills

Programming in C/C++

Programming in Python

Familiarity with Linux

Understanding of OpenCV

Knowledge of graphics pipeline

Education

Currently enrolled in a university with co-op program

Tools

GitHub

Windows

Job description

Huawei Canada has an immediate Co-op opening for an Engineer.

About the team

The Digital Trust Lab is dedicated to ensuring user data flows while maintaining privacy. Researchers focus on key areas such as user identity authentication, data integrity, privacy protection, extensive model privacy assessment, multi-modal data identification, differential privacy, and federated learning. The lab supports deep research and encourages publications in leading journals. Research outcomes are applied across various Huawei product lines, including mobile phones, smart devices, and communications technologies.

About the job

• Develop a program on a mobile device or desktop device.
• Understand the machine learning mechanism, and master the model training and inference methods of machine learning.
• Efficient and timely communication/collaboration with other researchers from understanding a proposed method to its code implementation.

About the ideal candidate

• Currently enrolled in a university and registered with the school’s co-op program.
• Excellent programming skills in C/C++ and Python (Pytorch).
• Familiarity with Linux, Windows, and GitHub.
• Understanding the concept of OpenCV, DSP and graphics pipeline.
• Strong knowledge of Linux system fundamentals.