Publié il y a 27 jours
Intern - Researcher
@ Huawei Technologies Canada Co., Ltd.
Montréal, Québec
En bref
Huawei Technologies Canada is hiring an Intern to research and prototype advanced reinforcement learning and LLM agent methods at its Ottawa Advanced Wireless Technology lab. The work covers graph-structured optimization, scheduling problems, and contributing to scientific papers. Compensation is stated as $58,000 to $104,000 annually, targeted on 2,080 hours per year.
Salaire :
58 000 $–104 000 $ par année
Responsabilités :
- Design advanced reinforcement learning for optimization and scheduling
- Enable LLMs to learn from feedback and interaction
- Prototype and integrate research ideas with researchers
- Track AI literature and contribute to papers
Résumé des exigences :
- Pursuing a PhD or master's in computer science or related field
- Machine learning and deep learning background
- Theoretical strength in agentic, multi-agent or meta-RL
- Familiarity with LLMs or generative AI
- Excellent communication and attention to detail
Outils et compétences
Source et dates
Site carrière / système de candidatures · recruitee
- Date publiée par l’employeur
- 2026-10-14
- Première détection par notre source
- 2026-10-14
- 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 | Données et analytique |
| Heures par semaine | 40 |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (exigé), Doctorat (exigé) |
| Domaines d’études | Computer 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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| Champ | Valeur |
|---|---|
| Secteur | Telecommunications |
| Taille | 10001+ |
| Siège social | Shenzhen, Guangdong |
| Offres sur Jobsy | 187 |
| Voir la page |
Huawei Canada has an immediate opening for an Intern.
About the team:
Welcome to the Advanced Wireless Technology Wireless Lab, an epitome of innovation located in Ottawa, Canada. Here, amid the dynamic panorama of technological progress, our team consists mainly of seasoned graduate computer engineers and computer scientists. With diverse experiences ranging from fresh perspectives to decades-long industry immersion, we are united by our fervour for pioneering wireless solutions.
About the job:
Design and implement advanced reinforcement learning for large-scale graph-structured optimization and complex scheduling problems.
Enabling Large Language Models (LLMs) to learn from experience, interaction, and environment feedback, moving beyond static fine-tuning toward continual, agentic self-improvement.
Collaborate closely with researchers to prototype, implement, and integrate research ideas into proof-of-concept.
Stay current with literature and recent advances in the AI domain for high-performance computing.
Contribute to scientific papers.
The total targeted 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:
Currently pursing a PhD degree or master's degree in Computer Science or related fields.
Background in machine learning, deep learning and practical or research experience in reinforcement learning, self-supervised learning, or language model fine-tuning.
Strong theoretical in advanced reinforcement learning (agentic RL, multi-agent RL or Meta-RL).
Familiarity with LLMs or generative AI methods and their integrations into structured reasoning or decision systems.
Excellent communication skills, self-motivated, with creative thinking and attention to details.
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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