Researcher - Video Generation & 3D Computer Vision

Posted Yesterday
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Markham, ON, CAN
In-Office
106K-156K Annually
Entry level
Information Technology • Other
The Role
Develop state-of-the-art artificial intelligence and computer vision algorithms for publication and integration into Huawei products. Design and implement real-world AI/CV solutions, collaborate with research scientists and engineers, and supervise interns. The role focuses on video generation, 3D computer vision, machine learning, and rapid research prototyping.
Summary Generated by Built In

Huawei Canada has an immediate permanent opening for a Researcher.

About the team:

Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.

Responsibilities

  • Working closely with other research scientists, research engineers, and research interns, you will:

  • Invent state-of-the-art AI and computer vision algorithms to be published in top AI/CV conferences.

  • Design and implement AI/CV solutions to real-world problems, and land them in various Huawei products.

  • Supervise intern students in R&D projects.

The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

  • PhD or master's in computer science or related fields with a focus on computer vision and machine learning.

  • Papers at relevant conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, IJCAI, etc.

  • In-depth hands-on experience in Python, TensorFlow, PyTorch etc. and a track record of translating ideas into research prototypes quickly.

  • Working or internship experience at industry research labs or technology companies is an asset.

  • Experience in training large-scale video generation/editing models, video world models, or 3D generation models is an asset.

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.

Skills Required

  • PhD or master's degree in computer science or a related field
  • Focus on computer vision and machine learning
  • Publications at relevant conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, or IJCAI
  • Hands-on experience with Python, TensorFlow, PyTorch, or similar tools
  • Track record of rapidly translating ideas into research prototypes
  • Experience working or interning at an industry research lab or technology company
  • Experience training large-scale video generation or editing models, video world models, or 3D generation models
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The Company
HQ: Shenzhen
1,770 Employees
Year Founded: 1987

What We Do

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.

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