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Co-op Researcher - Video Generation & 3D Computer Vision

@ Huawei Technologies Canada Co., Ltd.

Markham, Ontario

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Huawei Technologies Canada is hiring a co-op researcher for its Noah's Ark lab to work on video and image generation and computer vision. The 8-12 month intern role targets students pursuing a Bachelor's, Master's or PhD in computer science or a related field. Total target compensation is $58,000 to $104,000 per year.

Responsabilités :

  • Research and develop computer vision and machine learning technology
  • Work on video and image understanding and synthesis tasks
  • Optimize algorithms and models for mobile computing constraints

Résumé des exigences :

  • Enrolled in a Bachelor's, Master's or PhD in computer science or related field
  • Experience applying machine learning or computer vision to real-world problems
  • Coding in Python and PyTorch or TensorFlow
  • OpenCV, mobile app development or image generation AI is an asset

Outils et compétences

Source et dates

Site carrière / système de candidatures · recruitee

Date publiée par l’employeur
2026-08-21
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
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (exigé), Doctorat (exigé)
Domaines d’étudesComputer Science

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

Huawei Technologies Canada Co., Ltd.

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Personnes associées sur LinkedIn
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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
ChampValeur
SecteurTelecommunications
Taille10001+
Siège socialShenzhen, Guangdong
Offres sur Jobsy185
LinkedInVoir la page
Description

Huawei Canada has an immediate 8-12month Co-op openings for a Researcher role.

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, audio, speech, AI theory, and Autonomous driving.

Responsibilities

  • Research and develop state-of-the-art technology in computer vision and machine learning.

  • Work on various video / image understanding and synthesis tasks in 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.

The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

  • Currently pursuing a Bachelor's, Master's or Ph.D. degree in Computer Science or a related field.

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

  • Able to grasp basic Computer Vision concepts and techniques.

  • Coding in Python, PyTorch / TensorFlow (at least one)

  • OpenCV, mobile app development, photo editing (e.g., Photoshop), image/video generation AI (e.g., Stable Diffusion, Flux) is an asset

  • Academic research experience for example, participation in paper publishing is an asset

Additional Information

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs. All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

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