Co-op Researcher - LLMs Reasoning

Reposted 25 Days Ago
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Montréal, QC, CAN
In-Office
Internship
Information Technology • Other
The Role
Participate in LLMs reasoning research, implement algorithms, deploy models, and write technical reports. Collaborate with researchers on AI innovations.
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:

  • Participate in the innovative LLMs reasoning and LLMs empowered Agent research project;

  • Implement algorithms for proposed models and applications, deploy into internal product;

  • Work closely with researchers in the team;

  • Keeping up-to-date on selected areas of ML and write insight report, technical reports.

About the ideal candidate:

  • Currently enroll in senior Bachelor or Master’s in Computer Science or a related technical field;

  • Good knowledge of Deep Learning (DL) components (training, regularization, generalization) and familiar with common DL architectures (e.g., Transformers, LSTM, GNN);

  • Have experience in training or inference using Large Language Model (LLMs);

  • Have experience in applying Machine learning model for real-world applications;

  • Strong coding skills in Python, experience with coding in Pytorch;

  • Experience in parallel model training is a plus, experience in Huggingfac & DeepSpeed is an asset;

  • Have experience in training or inference using Large Language Model (LLMs) is an asset;

  • Good verbal & written communication skill 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.

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.

Skills Required

  • Currently enroll in senior Bachelor or Master's in Computer Science or a related technical field
  • Good knowledge of Deep Learning components
  • Experience in training or inference using LLMs
  • Strong coding skills in Python
  • Experience with coding in Pytorch
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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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