Researcher - Reinforcement Learning
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Mid-level AI Research role at Huawei Technologies Canada Co., Ltd. Markham · contract.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and test training and evaluation workflows for reasoning-focused language models and agents that use tools
- Scale experiments across large GPU clusters and study how models learn from interaction and environmental feedback
- Explore post-training approaches such as RLHF, GRPO and reward-free methods, plus interactive agent learning
- Create benchmarks for agents, including multi-turn tasks with verifiable reasoning
- Develop research findings and contribute to scientific publications
What you bring
- A PhD in computer science or a related discipline, or a master's degree backed by comparable experience
- A strong grasp of deep learning, including Transformer architectures and methods for optimizing large models
- Hands-on work in reinforcement learning, self-supervised learning or language-model fine-tuning
- At least one first-author AI paper at a leading venue such as NeurIPS, ICML or another listed conference
- Strong Python skills and experience with PyTorch, DeepSpeed, Megatron or other distributed-training frameworks
Who this fits
This mid-level, individual research role suits someone with a research track record in AI and practical experience training or evaluating language models. It is a twelve-month contract based onsite in Montreal. English proficiency is essential for collaboration with colleagues outside Quebec and for the specialized work.
From the employer
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.