Algorithm Expert - Multimodal LLM
Top Benefits
About the role
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.
Job requirements
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.
About Huawei Canada
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world.
In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
Algorithm Expert - Multimodal LLM
Top Benefits
About the role
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.
Job requirements
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.
About Huawei Canada
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world.
In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.