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Intern Associate Researcher - RAG/LLM

Huawei Technologies

Huawei Technologies

Montreal, QC, Canada
Posted 6+ months ago

Job description

Huawei Canada has an immediate internship opening for an Associate 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:

  • Research and develop innovative DL architecture and algorithms for large language models (LLM) and retrieval-augmented generation (RAG).

  • Survey the recent development in the related field and proactively communicate with the team members.

  • Apply cutting-edge research to solve impactful real-world problems, publish at top-tier conferences, and invent patents.

  • Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports.

  • Contribute to the design, implementation, test, and maintenance of research and development frameworks.

  • Collaborate with researchers and developers across teams and projects.

Job requirements

About the ideal candidate:

  • Currently enrolled in a Master’s or PhD program in Computer Science, Electrical Engineering, Machine Learning Mathematics, or a related field.

  • Experienced in deep learning, natural language processing and large language models.

  • Having good research and development skills.

  • Experience in machine learning and deep learning with libraries as TensorFlow or PyTorch (Experience in developing large language model and retrieval-augmented generation is an asset).

  • Curious, like to think out-of-the-box, comfortable being outside your comfort zone and appreciate complex challenges.

  • Experience with Git and code reviews.

  • At least one first-author accepted paper in one of the following conferences: NeurIPS/ICML/ICLR/TMLR/JMLR/AAAI/IJCAI/CVPR/SIGIR/Interspeech/ICASSP/KDD/TACL/ACL/EMNLP/NAACL/EACL.

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