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Publié il y a 14 mois

Co-op Researcher-Computer Vision and Machine Learning

@ Huawei Technologies Canada Co., Ltd.

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Markham, Ontario

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En bref

Huawei Technologies Canada is offering an 8, 12 or 16-month co-op internship as an Assistant Researcher in its Noah's Ark lab. The role involves researching and developing computer vision and machine learning technology, including deep learning for image and video analysis, with attention to mobile computing constraints. The posting asks for current enrollment in a Bachelor's or Master's program in a technical field and strong C++ and Python skills.

Responsabilités :

  • Research and develop computer vision and machine learning technology
  • Analyze images and videos with deep learning techniques
  • Optimize algorithms and models for mobile computing constraints

Résumé des exigences :

  • Enrolled in a Bachelor's or Master's program in computer science, electrical engineering or a related field
  • Internship experience with C++ and Python development
  • Solid understanding of data structures and algorithms
  • Experience applying machine learning or computer vision to real-world problems
  • At least one deep learning framework such as TensorFlow or PyTorch

Outils et compétences

PythonC++TensorFlowPyTorchOpenCVffmpegscikit-learnNumPyMatplotlibAdobe Photoshop
Source et dates

Site carrière / système de candidatures · recruitee

Date publiée par l’employeur
2025-09-04
Première détection par notre source
2026-10-10
Mise à jour du dossier source
2026-11-10

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauDébutant
DomaineRecherche et sciences
Milieu de travailBureau, Laboratoire
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
FormationBaccalauréat (exigé), Maîtrise (exigé)
Domaines d’étudesComputer Science, Electrical Engineering

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Huawei Technologies Canada Co., Ltd.

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Personnes associées sur LinkedIn
142 744
Autres noms enregistrés
  • Huawei Finland R&D
  • Huawei
  • Huawei Europe
  • Huawei Denmark
  • Huawei Norway
  • Huawei
  • Huawei Serbia&Hungary Rep Office
  • Huawei Telekomünikasyon Dış Ticaret Ltd
  • Huawei Technologies Italia
  • Huawei Switzerland
Toutes ses offres Site Web
ChampValeur
SecteurTelecommunications
Taille10001+
Siège socialShenzhen, Guangdong
Offres sur Jobsy187
LinkedInVoir la page
Description

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

About the team:

Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating 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.

  • Take into consideration of the mobile computing constraints for the optimization of algorithms and machine learning models.

About the ideal candidate:

  • Currently enrolled in Bachelor or Mater program in Computer Science, Electrical Engineering or a related technical field, having strong software development skills, previous internship experiences with C++ and Python development.

  • Solid understanding of computer science fundamentals (Data Structure / Algorithm).

  • Good understanding of machine learning techniques (Regression / SVM / PCA / neural networks, etc.).

  • Experience with applying machine learning or computer vision to real-world problems.

  • Coding language: Python and libraries such as numpy, matplotlib, scikit-learn. Deep learning frameworks (at least one): TensorFlow, PyTorch, etc.

  • Experience with image processing libraries (e.g. OpenCV and ffmpeg) and softwares (e.g. Adobe Photoshop) is an asset.

  • Experience with AIGC tools (e.g., Stable Diffusion, Flux, plugins like ControlNet) is an asset.

  • Experience with deploying neural networks on edge devices, Android development, and JNI, is an asset.

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Lieux et modes de travail

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Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

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