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Co-op Engineer - Machine Learning

Huawei Canada

Waterloo

On-site

CAD 125,000 - 150,000

Full time

Yesterday
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Job summary

A leading telecommunications company in Waterloo is seeking a Co-op Engineer to develop programs on mobile and desktop devices. Candidates should have strong programming skills in C/C++ and Python (Pytorch), and an understanding of machine learning mechanisms. This full-time internship position offers valuable experience in a research-focused environment.

Qualifications

  • Must be currently enrolled in a university and registered in a co-op program.
  • Must have excellent programming skills in C/C++ and Python.
  • Understanding of OpenCV, DSP, and graphics pipeline is required.

Responsibilities

  • Develop programs on mobile or desktop devices.
  • Understand machine learning mechanisms, model training, and inference methods.
  • Communicate and collaborate efficiently with researchers.

Skills

Programming in C/C++
Python (Pytorch)
Linux
GitHub
OpenCV
DSP
Graphics pipeline

Education

Currently enrolled in university co-op program
Job description
Overview

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

Responsibilities

  • 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.

Qualifications

  • 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.

Seniority level

  • Internship

Employment type

  • Full-time

Job function

  • Engineering and Information Technology
  • Industries: Telecommunications
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