Co-op Engineer - Machine Learning

Huawei Canada; Waterloo; On-site; CAD 40,000 - 70,000; Full time

Job summary

An innovative company is seeking a Co-op Engineer to join its Data and Privacy Protection Technology Lab. This role involves developing programs for mobile and desktop devices while collaborating with researchers on advanced machine learning methods. Ideal candidates will have strong programming skills in C/C++ and Python, and a solid understanding of Linux systems. Join a team dedicated to ensuring user data privacy while contributing to groundbreaking research applied across various cutting-edge technologies. This is a unique opportunity to enhance your skills and make a significant impact in the tech industry.

Qualifications

• Currently enrolled in a university and registered with the school’s co-op program.
• Excellent programming skills in C/C++ and Python (PyTorch).

Responsibilities

• Develop programs on mobile or desktop devices.
• Understand machine learning mechanisms, including model training and inference methods.

Skills

C/C++

Python

Machine Learning

Linux

GitHub

OpenCV

DSP

Graphics Pipeline

Education

Currently enrolled in university

Tools

Linux

Windows

GitHub

Job description

Our team has an immediate Co-op opening for an Engineer.

About the team:

The Data and Privacy Protection Technology 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 programs on mobile or desktop devices.
• Understand machine learning mechanisms, including model training and inference methods.
• Communicate and collaborate efficiently and timely with other researchers, from understanding proposed methods to coding implementations.

Job requirements:

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 of OpenCV, DSP, and graphics pipeline concepts.
• Strong knowledge of Linux system fundamentals.