Research Engineer - Large Language Models

Markham, Ontario, Canada

Huawei Technologies Canada Co., Ltd.

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.

View all jobs at Huawei Technologies Canada Co., Ltd.

Our team has an immediate 12-month contract opening for a Research Engineer.

Responsibilities:

  • Conduct research and development of advanced LLMs and NLP algorithms, enhancing language understanding and generation capabilities.
  • Design and optimize LLM architectures for scalability and efficiency in real-world applications, especially in human-computer interaction.
  • Collaborate with cross-functional teams to implement LLM-driven solutions into interactive, production-level systems.
  • Investigate innovative methodologies to enhance the interpretability and robustness of LLMs across various use cases.
  • Stay updated on the latest advancements in LLMs, NLP, and related AI fields.
  • Contribute to the research community through patents, publications, and participation in industry conferences.

Requirements

What you’ll bring to the team:

  • Ph.D. or Master's in Computer Science, Machine Learning, NLP, or a closely related field with a focus on LLMs.
  • Minimum of 3 years of experience in LLM research and development, with a robust portfolio of applied projects or publications.
  • Expertise in building, fine-tuning, and deploying large-scale LLMs using frameworks like PyTorch or TensorFlow.
  • Proficiency in Python and familiarity with additional programming languages like Java or C++.
  • Proven experience in handling large datasets, data pre-processing pipelines, and optimizing model performance.
  • Proficiency in both English and Mandarin Chinese is required.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Computer Science Java LLMs Machine Learning NLP Pipelines Python PyTorch Research TensorFlow

Perks/benefits: Conferences

Region: North America
Country: Canada

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