Algorithm Expert - Multimodal LLM

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

Job summary

Huawei Canada is seeking an Algorithm Expert specializing in multimodal large language models. The role involves building and deploying advanced models to enhance product competitiveness and requires a Master's or PhD in a relevant field, along with extensive experience in machine learning and NLP. The ideal candidate will have a strong research background and the ability to integrate multiple modalities into AI solutions.

Qualifications

• 5+ years of work experience in LLM, Machine Learning, and NLP.
• Familiar with technological evolution of multimodal large models.
• High-quality research publications and high-impact open-source projects are assets.

Responsibilities

• Responsible for building multimodal large models including data engineering and algorithm design.
• Deploy multimodal models in products to enhance competitiveness.
• Track technological advancements in multimodal models and plan technical roadmaps.

Skills

Machine Learning

Natural Language Processing

Algorithm Development

Computer Vision

Education

Master's or PhD Degree in Computer Science

Degree in Mathematics or Computer Engineering

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 the overall goal of trusted change, and systematically carries out public capacity building and change enablement and management such as trustworthy interpretation, change framework design and guidance, process IT and management systems.

About the job :

Responsible for building multimodal large models, including but not limited to data engineering design, algorithm design, and model development, with the goal of creating industry-leading multimodal large language models.

Responsible for deploying multimodal large models in relevant products to enhance competitiveness and support business success.

Responsible for continuously tracking the latest technological advancements in multimodal large models from both industry and academia, and planning technical roadmaps based on product needs.

Responsible for strengthening the algorithmic capabilities of multimodal engines by improving core competencies in algorithm theory, pre-trained models, and multi-source feature representation.

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

About the ideal candidate :

Master's or PhD Degree in Computer Science or related fields such as Mathematics, Computer Engineering.

5+ years of work experience in the related fields such as LLM, Machine Learning, and NLP.

Familiar with the technological evolution and current industry applications of multimodal large models.

High-quality research publications and high-impact open-source projects are assets.

Solid understanding of both computer vision and natural language processing, with the ability to design multimodal solutions that integrate multiple modalities.

Proficient in designing AI solutions for multimodal scenarios and capable of algorithm development and implementation.