Publié il y a 3 mois
Co-op Researcher - Physical AI
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
En bref
Huawei Technologies Canada is hiring a co-op Researcher on its Noah's Ark lab team to work on embodied AI and Physical AI research. The role involves implementing algorithms, deploying them into internal products, and writing technical reports. Pay is a total target annual compensation of $58,000 to $104,000, depending on education and experience, and applicants must be enrolled in a co-op program for the full work term.
Responsabilités :
- Participate in embodied AI research project
- Implement algorithms and deploy them into internal product
- Work closely with lab researchers
- Write insight and technical reports on ML topics
Résumé des exigences :
- Third-year bachelor's or master's in computer science, electrical engineering or related field
- Good knowledge of deep learning components
- Strong Python and PyTorch coding skills
- LLM training or inference experience is an asset
- Robotics knowledge is an asset
- Good verbal and written communication
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
- 2026-11-11
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, Laboratoire |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé), Maîtrise (préféré) |
| Domaines d’études | Computer Science, Electrical Engineering |
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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| Champ | Valeur |
|---|---|
| Secteur | Telecommunications |
| Taille | 10001+ |
| Siège social | Shenzhen, Guangdong |
| Offres sur Jobsy | 185 |
| Voir la page |
Huawei Canada has an immediate Co-op 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 Next Generation Foundation Model, Agentic Models, Physical AI and Reinforcement Learning.
About the job:
Participate in the embodied AI research project.
Implement algorithms for proposed models and applications, deploy into internal product.
Work closely with researchers in the team.
Keeping up-to-date on selected areas of ML and write insight report, technical reports.
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 enrolled in third year Bachelor or Master’s in Computer Science, Electrical Engineering or a related technical field.
Good knowledge of Deep Learning (DL) components (training, regularization, generalization).
Strong coding skills in Python, experience with coding in Pytorch.
Experience in training or inference using Large Language Models (LLMs) is an asset.
Knowledge and experience in robotics is an asset.
Good verbal & written communication skills.
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
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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