Researcher – 3D Computer Vision and Generative Modeling

Job summary

Independently lead research and development in 3D computer vision and generative modeling to integrate innovations into real-world products. Responsibilities include mentoring junior staff and contributing to the company's intellectual property through patents and publications.

Job details

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. Job requirements 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.

What you’ll do

Independently lead research and development in 3D computer vision and generative modeling to integrate innovations into real-world products. Responsibilities include mentoring junior staff and contributing to the company's intellectual property through patents and publications.

Requirements

Requires an advanced degree, preferably a PhD, in Computer Science or Robotics with a strong publication record in top-tier AI conferences. Candidates must possess deep expertise in 3D vision algorithms and proficiency in Python or C++ using deep learning frameworks.

Listed skills

• Machine learning · Preferred
• Project management · Preferred
• C++ · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• 3D Computer Vision
• Generative Modeling
• 3D Reconstruction
• Visual Geometry Transformer
• Gaussian Splatting
• Diffusion Models
• Image Generation
• Video Generation
• Multi-modal Generation
• Python
• C++
• PyTorch
• Machine Learning
• Project Management
• Mentoring

Job areas

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