Publié il y a 6 mois
Machine Learning Researcher -LLM Agents & Efficient Deep Learning
@ Huawei Technologies Canada Co., Ltd.
Montréal, Québec
En bref
Huawei Technologies Canada is hiring a Machine Learning Researcher for a 12-month term at its Noah's Ark lab. The role covers LLM agents, small language models and efficient deep learning, including quantization, pruning and inference optimization. Compensation is $106,000 to $156,000 per year.
Responsabilités :
- Develop LLM agents, multi-agent systems and function call models
- Build scalable SLM pipelines for training, evaluation and deployment
- Develop efficient training and inference methods such as quantization and pruning
- Prototype new ideas and validate them through rigorous experimentation
- Optimize inference latency, throughput and KV-cache efficiency
Résumé des exigences :
- MSc or PhD in Computer Science, Electrical Engineering or related field
- Strong publication record in top AI conferences such as NeurIPS, ICML, AAAI, ICLR
- Experience with transformer architectures, LLMs and SLMs
- Proficiency in PyTorch
- Solid understanding of linear algebra, probability and optimization algorithms
- Experience implementing and scaling ML systems
Outils et compétences
Source et dates
Site carrière / système de candidatures · recruitee
- Date publiée par l’employeur
- 2026-05-05
- 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 | Intermédiaire |
| Domaine | Données et analytique |
| Heures par semaine | 40 (estimé) |
| 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, 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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- Personnes associées sur LinkedIn
- 142 744
- Autres noms enregistrés
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- 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 12months opening for a Machine Learning 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.
About the Job:
multi-agent systems, and function call models. Build scalable SLM pipelines for training, evaluation, and deployment.
Develop methods for efficient training and inference, including: Quantization (e.g., low-precision formats, INT8/FP8); Pruning and sparsity; Low-rank and tensor decompositions
Explore advances in: Parameter-efficient fine-tuning such as LoRA; Memory and long-context modeling; Adapt GPU-based LLMs for CPU-based SLMs.
Prototype new ideas and validate them through rigorous experimentation
Optimize inference performance (latency, throughput, KV-cache efficiency)
Integrate reasoning models with tool-use frameworks (e.g., function calling, APIs)
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
MSc or PhD in Computer Science, Electrical Engineering, or related field
Strong publication record in top AI conferences such as NeurIPS, ICML, AAAI, ICLR, etc.
Strong background in deep learning and optimization
Experience with transformer architectures, LLM, SLM
Proficiency in Pytorch
Solid understanding of: Linear algebra and probability; Optimization algorithms (SGD, Adam, etc.)
Experience implementing and scaling ML systems in production or research settings.
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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