Publié il y a 14 mois
Researcher - Efficient Architecture for LLMs
@ Huawei Technologies Canada Co., Ltd.
Montréal, Québec
En bref
Huawei Technologies Canada is hiring a Researcher on a 12-month contract to advance efficient architectures and post-training methods for long-context large language models. The role involves designing and running experiments, publishing in top ML and NLP venues, and mentoring a small group of researchers and engineers. A PhD in computer science or a related field and first-author publications are required, with English essential for daily work.
Responsabilités :
- Propose and develop novel research ideas on LLMs
- Run end-to-end experiments and analyze results
- Publish research in top ML and NLP conferences
- Supervise and mentor a small group of researchers and engineers
- Track advances across the LLM and AI ecosystem
Résumé des exigences :
- PhD in Computer Science, Software Engineering or related field
- First-author publications at NeurIPS, ICML, ICLR, ACL, EMNLP or NAACL
- Expertise in transformer and linear-attention LLM architectures
- Strong Python and PyTorch programming skills
- Experience with LLM training and inference stacks
- Excellent oral and written English communication
Outils et compétences
Source et dates
Site carrière / système de candidatures · recruitee
- Date publiée par l’employeur
- 2025-09-03
- 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 | Senior |
| Gestion d’équipe | Oui |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English, French |
| Formation | Doctorat (exigé) |
| Domaines d’études | Computer Science, Software 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 | 187 |
| Voir la page |
Huawei Canada has an immediate 12-month contract 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 LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.
About the job:
Propose and develop novel research ideas to advance the state of the art in large language models (LLMs).
Participate in applied research projects focused on enabling long-context LLMs, including work on efficient architectures, data curation, and post-training methods.
Deliver end-to-end projects by designing and executing experiments, analyzing results, and presenting findings.
Publish research in top-tier machine learning and natural language processing (NLP) conferences.
Supervise and mentor a small group of researchers and engineers to deliver projects and publish conference papers.
Track advances across the LLM and AI ecosystem, translating new developments into actionable insights for the team.
About the ideal candidate:
A Ph.D. in Computer Science, Software Engineering, or a related field.
First-author publications in top-tier machine learning (ML) and natural language processing (NLP) venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL.
A deep understanding of NLP and large language model (LLM) fundamentals and state-of-the-art methods, coupled with a strong theoretical grounding in machine learning.
Expertise in modern LLM architectures, including transformer models (e.g., Llama, Qwen) and linear-attention models (e.g., Mamba, GLA).
Strong programming skills in Python with expertise in PyTorch.
Experience with modern LLM training and inference stacks (e.g., Hugging Face Transformers/Accelerate, Megatron-LM, vLLM).
Excellent oral and written communication skills.
Huawei aims to support a French-speaking work environment for its employees in Quebec. We have taken steps to avoid requiring a language other than French for this position. However, proficiency in English is essential for this role for the following reasons:
The person will be required to communicate regularly with colleagues located outside Quebec, where English is the primary language used for communication between offices. In addition, the nature of the tasks related to this position, which falls within a highly specialized field of artificial intelligence, also requires knowledge of English.
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