Algorithm Expert Multimodal LLM

Huawei Technologies Canada Co., Ltd.; Waterloo; On-site; CAD 190,000 - 350,000; Full time

Job summary

A leading company in the tech field, Huawei Canada, is seeking an Algorithm Expert - Multimodal LLM to enhance their capabilities in developing multimodal large language models. This permanent position in Waterloo involves building and deploying cutting-edge models, requiring advanced education and extensive experience in machine learning and NLP.

Qualifications

• 5+ years of experience in LLM, Machine Learning, and NLP.
• Familiar with multimodal large models and their industry applications.
• Research publications and open-source projects are assets.

Responsibilities

• Build multimodal large models, including data engineering design and algorithm development.
• Deploy multimodal large models to enhance competitiveness.
• Track advancements in multimodal large models and plan technical roadmaps.

Skills

Machine Learning

NLP

Algorithm Development

Computer Vision

Education

Master's or PhD in Computer Science

Relevant fields such as Mathematics, Computer Engineering

Job description

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Algorithm Expert - Multimodal LLM, Waterloo

Location: Waterloo, Canada

Job Category: Information Technology

Job Reference: r7ypumrc-99961

Job Views: 1

Posted: 30.05.2025

Expiry Date: 14.07.2025

Job Description:

Huawei Canada has an immediate permanent opening for an Algorithm Expert - Multimodal LLM.

About the team:

The Software Engineering Coach Lab focuses on capability improvements, undertaking Huawei's trusted change strategy. This lab is responsible for achieving trusted change, systematically carrying out public capacity building, change enablement, and management such as trustworthy interpretation, change framework design, and guidance, process IT, and management systems.

About the job:

• Build multimodal large models, including data engineering design, algorithm design, and model development, aiming to create industry-leading multimodal large language models.
• Deploy multimodal large models in relevant products to enhance competitiveness and support business success.
• Track the latest technological advancements in multimodal large models from industry and academia, planning technical roadmaps based on product needs.
• Strengthen the algorithmic capabilities of multimodal engines by improving core competencies in algorithm theory, pre-trained models, and multi-source feature representation.

The base salary ranges from $190,000 to $350,000 depending on education, experience, and expertise.

About the ideal candidate:

• Master's or PhD in Computer Science or related fields such as Mathematics, Computer Engineering.
• 5+ years of experience in LLM, Machine Learning, and NLP.
• Familiar with technological evolution and industry applications of multimodal large models.
• Research publications and open-source projects are assets.
• Strong understanding of computer vision and NLP, capable of designing multimodal solutions and algorithm development.