Researcher – 3D Computer Vision and Generative Modeling

Reposted One Month Ago
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Markham, ON, CAN
In-Office
106K-156K Annually
Senior level
Information Technology • Other
The Role
The Senior Researcher will contribute to R&D in 3D computer vision and generative modeling, mentor junior engineers, and manage projects.
Summary Generated by Built In
Huawei Canada has an immediate permanent opening for a Senior 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.

About the job:
  • Independently contribute to research and development efforts within the area of 3D computer vision and generative modeling.

  • Collaborate closely with cross-functional teams to integrate solutions into the broader real-world application system.

  • Mentor and guide junior engineers and interns, fostering a collaborative and innovative team environment.

  • Contribute to the development of our intellectual property portfolio through patent filings and publications.

  • Stay abreast of the latest research and advancements in computer vision and machine learning. Proactively identify opportunities for innovation.

  • Independently manage projects and deliver high-quality results within established timelines.

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
  • Advanced degree (Ph.D. preferred) in Computer Science, Robotics, or a related field with a focus on computer vision and machine learning.

  • Deep understanding of 3D computer vision and generative modeling algorithms and techniques, such as 3D reconstruction, visual geometry transformer, Gaussian splatting, diffusion model, image generation, video generation, and multi-modal generation.

  • Strong programming skills in Python and/or C++, with experience using deep learning frameworks (such as PyTorch).

  • Excellent problem-solving and analytical skills, with the ability to tackle complex technical challenges.

  • A strong publication record in top-tier computer vision and machine learning conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, SIGGRAPH).

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

  • Advanced degree (Ph.D. preferred) in Computer Science, Robotics, or related field
  • Deep understanding of 3D computer vision and generative modeling algorithms
  • Strong programming skills in Python and/or C++
  • Experience using deep learning frameworks like PyTorch
  • Strong publication record in top-tier conferences
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The Company
HQ: Sham Chun Hu
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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