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Coop Researcher-Computer Vision and Machine Learning
Coop Researcher-Computer Vision and Machine LearningHuawei Canada • Markham, York Region, CA
Coop Researcher-Computer Vision and Machine Learning

Coop Researcher-Computer Vision and Machine Learning

Huawei Canada • Markham, York Region, CA
30+ days ago
Job type
  • Full-time
Job description

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 NumPy, Matplotlib, scikit-learn. Deep learning frameworks (at least one) : TensorFlow, 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 ControlNet) 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 : Referrals increase your chances of interviewing at Huawei Canada.

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