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Intern Researcher - AI/ML Technology Insight and Planning

  • 4321 Still Creek Drive, Vancouver, BC, V5C 6S7, Canada

The total target annual compensation (based on 2,080 hours per year) ranges from $58,000- $104,000 depending on education, experience, and demonstrated expertise. · Internship

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Job details

Pay
The total target annual compensation (based on 2,080 hours per year) ranges from $58,000- $104,000 depending on education, experience, and demonstrated expertise.
Job type
Internship
Posting language
English
Posted

Original job description

Huawei Canada has an immediate internship opening for a Researcher.

About the team:

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.

About the job:

  • 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.

The total target annual compensation (based on 2,080 hours per year) ranges from $58,000- $104,000 depending on education, experience, and demonstrated expertise.


About the ideal candidate:

  • PhD or Master 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.

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

  • 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.

Additional Information:

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

More about this job

Responsibilities

Stay up-to-date with the latest technology trends and research achievements in the AI/ML domain, generating insightful technology reports. Collaborate with stakeholders and cross-functional teams to develop strategic technical plans for AI/ML projects.

Requirements

The ideal candidate should have a Master’s or PhD in Computer Science, Engineering, or a related field, focusing on AI & Deep Learning, with solid publication records. They should also have demonstrated technical research and development experience in AI/ML domains and strong communication skills.

Skills

  • AI
  • Deep Learning
  • Technical Research
  • Development Experience
  • Heterogeneous Computing
  • High Performance Computing
  • Big Data
  • Graphic Processing
  • Communication Skills
  • Presentation Skills
  • Collaboration
  • Innovation
  • Continuous Improvement
  • Technology Trends
  • Algorithm Performance
  • Data Efficiency

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Science & Research
  • Engineering
  • Data & Analytics
  • Software

Keywords

  • AI
  • ML
  • Deep Learning
  • Data Analytics
  • GPU Architecture
  • Cloud Rendering
  • VR
  • AR
  • Metaverse
  • Algorithm Performance
  • Training Efficiency
  • Software-Hardware Co-Design
  • Data Efficiency
  • Heterogeneous Computing
  • High Performance Computing
  • Big Data
  • Graphic Processing
  • Technology Trends
  • Research Achievements
  • Technical Plans
  • Innovation
  • Continuous Improvement

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