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AI Researcher – Agents & Multimodal Systems

huaweicanada · Markham

Nouveau
Contrat 127,000 - 225,000 CAD/an 🇬🇧 English
Python PyTorch RLHF RLVR preference optimization GUI agents web agents mobile agents HTML CSS JavaScript Playwright distributed training GPU systems model distillation efficient inference

Description du poste

About the role

Huawei Canada's Noah's Ark Laboratory is seeking a researcher to advance AI agents, large language models, vision‑language models and multimodal AI. The 12‑month contract focuses on novel, high‑impact research that can be translated into product‑ready technologies.

Key responsibilities

  • Conduct research on AI agents, LLMs, VLMs, code generation and multimodal AI, targeting novel problems.
  • Design and develop GUI, web, mobile and computer‑use agents and coding agents.
  • Develop new approaches for supervised fine‑tuning, reinforcement learning, agent training, tool use and function calling.
  • Build prototypes, datasets, training pipelines, benchmarks and evaluation frameworks.
  • Run rigorous experiments, analyze results and publish in top‑tier conferences and journals.
  • Collaborate with engineers to translate research ideas into practical systems.

Required profile

  • Ph.D. in Computer Science, Electrical & Computer Engineering, Machine Learning or equivalent research experience.
  • Strong background in one or more areas such as LLMs, VLMs, multimodal learning, reinforcement learning, generative AI, code generation or AI agents.
  • Proven ability to formulate research problems, design algorithms, conduct experiments and publish in venues like NeurIPS, ICML, ICLR, CVPR, ACL, etc.
  • Excellent communication and collaboration skills.

Required skills

  • Python programming.
  • Deep learning frameworks, especially PyTorch.
  • Experience with LLM/VLM fine‑tuning, RLHF/RLVR and preference optimization.
  • Development of GUI, web, mobile and computer‑use agents.
  • Web technologies: HTML, CSS, JavaScript, DOM, Playwright or browser APIs.
  • Distributed training on large‑scale GPU systems.
  • Model distillation and efficient inference for edge models.

What we offer

  • Annual total compensation ranging from $127,000 to $225,000 CAD.
  • Commitment to a fair, inclusive and accessible recruitment process.

Questions fréquentes

Le salaire proposé pour ce poste est de 127-225k CAD par an. Le détail figure dans l'annonce.
Cliquez sur "Postuler maintenant" en haut de la page. Vous pouvez importer votre CV en 1 clic — Jobiglo extrait automatiquement vos informations et postule pour vous.
Le contrat proposé est un Contrat basé à Markham.
Source : ats:recruitee

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huaweicanada

Markham