Intern Researcher - AI/ML Technology Insight and Planning

Huawei Technologies Canada Co., Ltd.Burnaby, BC
CA$58,000 - CA$104,000

About The Position

Huawei Canada has an immediate internship opening for a Researcher. The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications. One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness. This role involves staying up-to-date with the latest technology trends and research achievements in the industry and academia within the AI/ML domain, generating insightful technology reports. The intern will drive the evaluation and adoption of cutting-edge AI/ML technologies and methodologies. They will collaborate with stakeholders and cross-functional teams to develop strategic technical plans in the development and implementation of AI/ML projects and foster a culture of innovation and continuous improvement within the AI/ML team.

Requirements

  • Master/PhD in Computer Science, Engineering, or a related field, focusing on AI & Deep Learning with solid publication records.
  • Demonstrated solid foundation of understanding and navigating complex technical landscape.
  • Demonstrated technical research and development experience in AI/ML domains.
  • Possession of a keen sense of technology, enabling the ability to gather first-hand insights and stay abreast of the latest industry trends.
  • Strong communication and presentation skills, facilitating effective collaboration with diverse internal and external stakeholders.

Nice To Haves

  • Experience in heterogeneous (CPU/GPU/NPU) computing, high performance AI computing architecture, Big Data and Graphic Processing is an asset.

Responsibilities

  • Stay up-to-date with the latest technology trends and research achievements in the industry and academia within the AI/ML domain, generating insightful technology reports.
  • Drive the evaluation and adoption of cutting-edge AI/ML technologies and methodologies.
  • Collaborate with stakeholders and cross-functional teams to develop strategic technical plans in the development and implementation of AI/ML project.
  • Foster a culture of innovation and continuous improvement within the AI/ML team.

Benefits

  • Fair, inclusive, and accessible recruitment process
  • Accommodation during any stage of the hiring process
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