Posted 11 months ago
Researcher - Reinforcement Learning
@ Huawei Technologies Canada Co., Ltd.
Montréal, QC · Edmonton, AB · Markham, ON
Overview
Huawei Technologies Canada is hiring a Reinforcement Learning Researcher on a 12-month contract with its Noah's Ark lab. The role focuses on LLM post-training, agentic reinforcement learning for tool-using agents, and building training and evaluation pipelines on large GPU clusters. A PhD in Computer Science or a master's with comparable experience and a strong AI publication record are expected.
Responsibilities:
- Implement and evaluate training and evaluation pipelines for reasoning LLMs and tool-using agents
- Scale experiments on large GPU clusters
- Design multi-turn, verifiable reasoning benchmarks
- Contribute to scientific insights and publications
Requirements summary:
- PhD in Computer Science or related field, or master's with comparable experience
- First-author paper in top AI venues such as NeurIPS, ICML or ICLR
- Proficiency in Python, PyTorch and distributed training frameworks
- Experience in reinforcement learning or language model fine-tuning
- Strong English communication and writing skills
Tools & skills
Source and dates
Employer career site / ATS feed · recruitee
- Employer posting date
- 2025-11-27
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English, French |
| Education | Doctorate (preferred), Master’s degree (required) |
| Fields of study | Computer Science |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Huawei Technologies Canada Co., Ltd.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
- People associated on LinkedIn
- 142,744
- Other recorded names
- 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
| Field | Value |
|---|---|
| Industry | Telecommunications |
| Company size | 10001+ |
| Headquarters | Shenzhen, Guangdong |
| Open jobs on Jobsy | 187 |
| View page |
Huawei Canada has an immediate 12-month contract opening for a Reinforcement 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:
Enabling Large Language Models (LLMs) to learn from experience, interaction, and environment feedback, moving beyond static fine-tuning toward continual, agentic self-improvement.
LLM post-training paradigms (e.g., RLHF, GRPO, reward-free methods, etc.).
Agentic reinforcement learning for tool-using and browsing-based LLMs trained in interactive environments.
Agentic evaluation and benchmarking, including design of multi-turn, verifiable reasoning tasks.
Your work will involve implementing and evaluating new training and evaluation pipelines for reasoning-enhanced LLMs and tool-using agents, scaling experiments on large GPU clusters, and contributing to scientific insights and publications in this emerging area.
About the ideal candidate:
PhD degree in Computer Science or related fields or master's degree with comparable experience.
Strong foundation in deep learning, including architectures such as Transformers and optimization techniques for large models.
Practical or research experience in reinforcement learning, self-supervised learning, or language model fine-tuning.
Proven research record in AI by having at least one paper as the first author in top tier venues, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA.
Solid proficiency in Python and experience with PyTorch, DeepSpeed, Megatron and other distributed training frameworks.
Familiarity with LLM post-training pipelines (RLHF, GRPO/PPO, SFT, LoRA, MoE, etc.) is an asset.
Experience with multi-agent RL, tool-use / browser/coding agents, is an asset.
Strong communication and writing skills; enthusiasm for open research and collaborative problem-solving.
Informations supplémentaires :
Huawei Canada s'engage à un processus de recrutement équitable, inclusif et accessible. Si vous avez besoin d'un accommodement à n'importe quelle étape du processus d'embauche, veuillez nous en informer, et nous travaillerons avec vous pour répondre à vos besoins.
Toutes les candidatures pour ce poste sont examinées directement par notre équipe de recrutement, nous n'utilisons pas d'outils d'intelligence artificielle pour filtrer ou sélectionner les candidats.
Huawei vise à soutenir un environnement de travail francophone pour ses employés au Québec. Nous avons pris des mesures pour éviter de demander une autre langue que le français pour ce poste. Cependant, la maîtrise de l'anglais est essentielle pour ce rôle pour les raisons suivantes :
La personne devra communiquer régulièrement avec des collègues situés en dehors du Québec, où l'anglais est la langue principale utilisée pour la communication entre les bureaux. De plus, la nature des tâches liées à ce poste, qui relève d'un domaine hautement spécialisé de l'intelligence artificielle, nécessite également une connaissance de l'anglais.
L'utilisation du genre masculin a été adoptée afin de faciliter la lecture et n'a aucune intention discriminatoire.
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