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Publié il y a 16 mois

Researcher – Computer Vision and Multimodal Foundation Models

@ Huawei Technologies Canada Co., Ltd.

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Markham, Ontario

Sur placeTemps plein
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En bref

Huawei Technologies Canada is hiring a full-time Researcher for its Noah's Ark lab to work on computer vision and multimodal foundation models. The role involves independent research, integrating vision solutions into a spatial reasoning system, mentoring junior engineers and interns, and producing patents and publications. A Ph.D. is preferred, along with strong Python and C++ skills and a top-tier publication record.

Responsabilités :

  • Independent computer vision and multimodal foundation model research
  • Integrate vision solutions into a spatial reasoning system
  • Mentor junior engineers and interns
  • File patents and publish research
  • Track advances in computer vision and machine learning

Résumé des exigences :

  • Advanced degree in computer science, robotics or related field (Ph.D. preferred)
  • Deep understanding of spatial reasoning and foundation models
  • Proven applied computer vision experience
  • Strong Python and C++ with PyTorch or TensorFlow
  • Strong publication record in top AI venues

Outils et compétences

PyTorchTensorFlow
Source et dates

Site carrière / système de candidatures · recruitee

Date publiée par l’employeur
2025-07-07
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

NiveauSenior
DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Milieu de travailBureau, Laboratoire
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationMaîtrise (préféré), Doctorat (préféré)
Domaines d’étudesComputer Science, Robotics, Computer Vision

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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Toutes ses offres Site Web
ChampValeur
SecteurTelecommunications
Taille10001+
Siège socialShenzhen, Guangdong
Offres sur Jobsy187
LinkedInVoir la page
Description

Huawei Canada has an immediate permanent opening for a 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.

Responsibilities:

  • Independently contribute to research and development efforts within the area of computer vision and multimodal foundation models.

  • Collaborate closely with cross-functional teams to integrate computer vision solutions into the broader spatial reasoning system.

  • Mentor and guide junior engineers and interns, fostering a collaborative and innovative team environment.

  • Contribute to the development of our intellectual property portfolio through patent filings and publications.

  • Stay abreast of the latest research and advancements in computer vision and machine learning. Proactively identify opportunities for innovation.

  • Independently manage projects and deliver high-quality results within established timelines.

  • Advanced degree (Ph.D. preferred) in Computer Science, Robotics, or a related field with a focus on computer vision and multimodal foundation models.

  • Deep understanding of spatial reasoning and foundation models, e.g., VLM, LLM, MLLM, etc.

  • Proven expertise in applying computer vision algorithms for real-world application.

  • Strong programming skills in Python and C++, with experience using deep learning frameworks (PyTorch, TensorFlow).

  • Excellent problem-solving and analytical skills, with the ability to tackle complex technical challenges.

  • A strong publication record in top-tier AI conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, etc.).

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