Publié il y a 5 mois
Intern Engineer - AI
@ Huawei Technologies Canada Co., Ltd.
Vancouver, Colombie-Britannique
En bref
Huawei Technologies Canada is hiring an Intern Engineer for a 4-month internship in its Central Media Technology Institute, working on AI and computer graphics research. The role covers VFX generation and procedural shape, texture and VFX generation, transferring results into Huawei products, and publishing findings in papers or patents. Target total annual compensation is stated as $58,000 to $104,000 based on 2,080 hours per year.
Responsabilités :
- Research and engineer VFX generation and procedural shape, texture and VFX generation
- Transfer AI and CG research results into Huawei products
- Summarize research findings in high-quality papers or patents
Résumé des exigences :
- Bachelor's degree or higher in computer science or related field
- Background in machine learning and deep learning
- Experience with dense estimation, procedural generation, SVBRDF, super-resolution, inpainting or neural rendering
- Experience with Python, PyTorch or TensorFlow
Outils et compétences
Source et dates
Site carrière / système de candidatures · recruitee
- Date publiée par l’employeur
- 2026-06-22
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-11-07
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, Computer graphics, Computer vision, 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.
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
- 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
| Champ | Valeur |
|---|---|
| Secteur | Telecommunications |
| Taille | 10001+ |
| Siège social | Shenzhen, Guangdong |
| Offres sur Jobsy | 187 |
| Voir la page |
Huawei Canada has an immediate 4-month internship opening for an Intern Engineer.
About the team:
Established in 2012, the Central Media Technology Institute (CMTI) is Huawei's center for media technology innovation and engineering, enhancing the technical competitiveness of media products. Sitting within CMTI, the Graphics Technology Lab focuses on research and breakthroughs in photography, audio, video, computer graphics, XR, and codec standards to maintain the company's leadership in media technology. Our R&D team comprises skilled CG algorithm experts, researchers, software architects, and standards specialists dedicated to building core capabilities for an improved graphics experience.
About the job:
Conduct advanced research and engineering on VFX generation, procedural Shape/Texture/VFX generation to Support R&D.
Transfer the results of the advanced research on AI/CG solutions to solve real-world problems, and land them in various Huawei products.
Provide expert opinions on relevant fields by summarizing research findings in high-quality papers or patents.
The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Bachelors of Science or higher in computer science or related fields with a focus on computer graphics, computer vision or machine learning.
Backgrounds in machine learning and deep learning, e.g., Symbolic regression, DNN, GAN, ViT, and Diffusion techniques
Experienced on dense estimation including but not limited to procedural generation SVBRDF, super-resolution, inpainting, neural rendering, etc.
Experienced in Python, PyTorch, TensorFlow, etc. and a track record of translating ideas into research prototypes quickly
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.