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Coop Researcher-Computer Vision and Machine Learning

Job in Markham, Ontario, Canada
Listing for: Huawei Canada
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, Computer Science, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

Huawei Canada has an immediate 8/12/16-month Co-op opening for an Assistant Researcher.

About the team:
Noah’s Ark lab (founded in 2012) is a prominent research organization focused on advancing artificial intelligence and related fields. The lab aims to conduct impactful, long-term research and integrate innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and autonomous driving.

About the job
  • Research and develop state-of-the-art technology in computer vision and machine learning.
  • Work with various types of videos and image analysis using cutting-edge deep learning and computer vision techniques.
  • Consider mobile computing constraints for the optimization of algorithms and machine learning models.
Qualifications / Ideal Candidate
  • Currently enrolled in a Bachelor or Master program in Computer Science, Electrical Engineering or a related technical field, with strong software development skills and prior internship experiences with C++ and Python.
  • Solid understanding of computer science fundamentals (Data Structures / Algorithms).
  • Good understanding of machine learning techniques (Regression / SVM / PCA / neural networks, etc.).
  • Experience applying machine learning or computer vision to real-world problems.
  • Coding languages:
    Python with libraries such as Num Py, Matplotlib, scikit-learn. Deep learning frameworks (at least one):
    Tensor Flow, PyTorch, etc.
  • Experience with image processing libraries (e.g., OpenCV, FFmpeg) and software (e.g., Adobe Photoshop) is an asset.
  • Experience with AIGC tools (e.g., Stable Diffusion, Flux, plugins like Control Net) is an asset.
  • Experience deploying neural networks on edge devices, Android development, and JNI is an asset.
Seniority level
  • Internship
Employment type
  • Internship
Job function
  • Other
Industries
  • Telecommunications

Note:

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