Co-op Researcher – Agentic AI

Posted 8 Days Ago
Be an Early Applicant
Markham, ON, CAN
In-Office
58K-104K Annually
Entry level
Information Technology • Other
The Role
Conduct frontier research on data-efficient agentic AI, including model architectures, meta-learning, test-time adaptation, and reinforcement learning. Train deep learning models at scale, deploy agentic pipelines, design experiments and evaluations, analyze results, communicate findings, participate in brainstorming, support academic papers and technical reports, and stay current with machine learning publications.
Summary Generated by Built In

Huawei Canada has an immediate Co-op 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 Next Generation Foundation Model, Agentic Models, Physical AI and Reinforcement Learning.

About the job:

  • AI agents in the wild need to adapt to new environments with very limited interactions. The more novel the environment and fewer interactions, the more agents tend to lag behind humans. We are working on developing agents that explore and understand their environment in an extremely data-efficient manner. We are exploring new data-efficient architectures, meta-learning strategies for efficient test-time adaptation, and reinforcement learning algorithms.

  • Participate in a small team of both junior and senior researchers on frontier research in AI agents.

  • Conduct large scale training runs of deep learning models, deploy multi-component agentic pipelines, and design experiments and evaluations to effectively test and understand new ideas.

  • Develop custom analyses of experiments to diagnose issues and understand results.

  • Effectively communicate findings to team and proactively think about next steps for what can be improved;

  • Actively participate in brainstorming sessions with the team.

  • Help to write academic papers / technical report and run experiments to support them.

  • Actively read new ML publications in areas related to our project.

The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

  • Currently enrolled in a Bachelor’s or Master’s in Computer Science program or a related technical program.

  • Knowledge of machine learning principles (training, regularization, generalization) and familiar with common deep learning architectures (e.g., Transformers, LSTM, CNN).

  • Strong coding skills in Python, particularly developing machine learning models/pipelines in Pytorch.

  • Strong verbal and written communication.

  • Knowledge of machine learning techniques (diffusion, RL techniques (PPO, GRPO), JEPA, LLMs) is an asset.

  • Experience with model training and popular tools (e.g., HuggingFace, DeepSpeed, vllm) is an asset, especially for training at scale for real applications.

  • Experience in academic research is an asset.

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.

Skills Required

  • Currently enrolled in a Bachelor's or Master's degree in Computer Science or a related technical program
  • Knowledge of machine learning principles, including training, regularization, and generalization
  • Familiarity with common deep learning architectures such as Transformers, LSTM, and CNN
  • Strong Python coding skills, particularly for developing machine learning models and pipelines in PyTorch
  • Strong verbal and written communication skills
  • Knowledge of diffusion, reinforcement learning techniques, JEPA, or large language models
  • Experience with model training and tools such as Hugging Face, DeepSpeed, or vLLM
  • Experience training models at scale for real applications
  • Experience in academic research
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The Company
HQ: Shenzhen
1,770 Employees
Year Founded: 1987

What We Do

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.

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