Senior Principal Researcher-NLP

Huawei Technologies Canada Co., Ltd.; Montreal; On-site; CAD 120,000 - 160,000; Full time

Job summary

Huawei Canada is seeking a Senior Principal Researcher to drive AI innovation in the NLP team. This role involves developing strategies in NLP and Large Language Models, leading collaborative research efforts, and contributing as a thought leader with a strong emphasis on practical application and rapid prototyping.

Qualifications

• Strong background in NLP and LLM techniques with practical experience.
• Experience publishing at major AI conferences.
• Hands-on development of AI prototypes.

Responsibilities

• Develop strategies and key technology directions in NLP and LLM.
• Lead AI solution development and deployment in real scenarios.
• Identify emerging research areas through collaboration.

Skills

Python

PyTorch

TensorFlow

Education

PhD in Computer Science or related fields

Job description

Huawei Canada has an immediate permanent opening for a Senior Principal Researcher.

About the team:

We are a growing, dynamic and diverse team driving AI innovation in a large organization with a vast network of R&D centers across the world. The NLP team in Huawei's Noah's Ark Lab is working on the future of Large Language Model (LLM). We are committed to training LLM, improving LLM, and applying LLM to many business scenarios both inside and outside Huawei Company to create value for our customers.

About the job:

• Responsible for the development strategy, technical path, and key technology direction in the fields of NLP and Large Language Model.

• Lead research, develop state-of the-art AI solutions and collaborate with product groups to deploy them in real-world settings.

• Identify new and upcoming research areas by interacting with potential external and internal collaborators.

• Publication, presentation, and contribution as a thought leader in the relative fields.

• Apply your passion and out-of-the-box thinking to collaborate with a team of researchers.

About the ideal candidate:

• Hold a PhD degree in Computer Science or related fields with a focus on NLP, Large Language Model, or equivalent practical experience.

• Papers at relevant conferences such as ACL, EMNLP, NACAL, NeurIPS, ICML, ICLR, AAAI, etc.

• In-depth hands-on experience in Python, PyTorch, TensorFlow etc. and a track record of translating ideas into research prototypes quickly.

• Working or collaboration experience at/with industry research labs or technology companies is an asset.

• Experience in neural network architecture design and Large Language Model techniques, familiar with Transformer and its variants, linear Transformers, state space models, and AutoML techniques.