Publié il y a 14 mois
Co-op Researcher-Computer Vision and Machine Learning
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
En bref
Huawei Technologies Canada is hiring a co-op researcher for a 12 or 16 month term in its Noah's Ark lab, working on computer vision and machine learning. The role involves designing and benchmarking algorithms for spatial reasoning and multimodal foundation models, collaborating with researchers and cross-functional teams. Target annual compensation is $58,000 to $104,000, depending on education, experience and demonstrated expertise.
Responsabilités :
- Develop expertise in a computer vision and machine learning topic
- Design and implement algorithms for spatial reasoning and multimodal models
- Evaluate and benchmark solutions on internal datasets
- Collaborate with researchers and cross-functional team members
Résumé des exigences :
- Enrolled in a co-op program for the full work term
- Pursuing a degree in computer science, machine learning or related field
- Strong Python and/or C++ coding skills
- Familiarity with PyTorch or TensorFlow and Linux
- Experience in computer vision, deep learning, VLMs or LLMs
Outils et compétences
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
| Niveau | Débutant |
| Domaine | Développement logiciel |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer Science, Machine Learning |
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
- 142 744
- Autres noms enregistrés
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- Huawei
- Huawei Europe
- Huawei Denmark
- Huawei Norway
- Huawei
- Huawei Serbia&Hungary Rep Office
- Huawei Telekomünikasyon Dış Ticaret Ltd
- Huawei Technologies Italia
- Huawei Switzerland
| Champ | Valeur |
|---|---|
| Secteur | Telecommunications |
| Taille | 10001+ |
| Siège social | Shenzhen, Guangdong |
| Offres sur Jobsy | 187 |
| Voir la page |
Huawei Canada has an immediate 12/16-month Co-op opening 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, AI theory and Autonomous driving.
About the job:
Dig deep into a computer vision and machine learning topic, becoming a subject matter expert and driving innovation.
Design and implement the state-of-the-art algorithms for spatial reasoning and multimodal foundation model.
Evaluate and benchmark solutions with internal datasets.
Collaborate closely with our other researchers, exchanging knowledge and expertise to drive impactful discoveries.
Collaborate with cross-functional team members, including regular attendance and participation in meetings and working groups.
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:
Applicants must be enrolled in a co-op program and be registered for an official co-op work term for the full duration of the employment period
Currently pursuing a degree in Computer Science, Machine Learning or a related field.
Excellent written and verbal communication skills
Excellent coding skills with Python and/or C++
Familiarity with deep learning frameworks such as Pytorch and Tensorflow
Familiarity with Linux
Solid understanding of core concepts, including linear algebra, probability theory, optimization, computer vision, and machine learning
Experience in one or more focus areas: Computer Vision, Deep Learning, VLMs, LLMs, etc.
Journal
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