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 computer vision algorithms such as 3D reconstruction, generative AI, visual recognition, and semantic segmentation.
Proficient in applying computer vision algorithms to real-world scenarios.
Strong programming skills in Python and C++, experience with deep learning frameworks like PyTorch and TensorFlow.
Excellent problem-solving and analytical skills for tackling complex technical challenges.
Demonstrated publication record in prestigious AI conferences/journals.
Responsibilities
Contribute to research and development in computer vision and autonomous driving.
Collaborate with cross-functional teams to integrate computer vision solutions into autonomous systems.
Mentor junior engineers and interns to promote a collaborative team environment.
Develop intellectual property through patent filings and academic publications.
Stay updated on advancements in computer vision and identify new innovation opportunities.
Manage projects independently and ensure high-quality delivery within timelines.
Benefits
Opportunity to work on cutting-edge technologies in computer vision and autonomous driving.
Collaborative work environment with cross-functional teams.
Mentoring opportunities for career growth and development.
Access to resources for intellectual property development.
Engagement with the latest research in AI and machine learning.
Full Job Description
Huawei Canada has an immediate permanent opening for a Researcher.
About the job:
Independently contribute to research and development efforts within the areas of computer vision and autonomous driving.
Collaborate closely with cross-functional teams (e.g., planning, perception) to integrate computer vision solutions into the broader autonomous driving 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.
About the ideal candidate:
Advanced degree (Ph.D. is an asset) in Computer Science, Robotics, or a related field with a focus on computer vision and machine learning.
Deep understanding of computer vision algorithms and techniques, e.g., 3D reconstruction, generative AI, visual recognition, semantic segmentation, etc.
Proven expertise in applying computer vision algorithms for real-world application.
Strong programming skills in Python and C++, with experience using deep learning frameworks (PyTorch, TensorFlow).
Excellent problem-solving and analytical skills, with the ability to tackle complex technical challenges.
A strong publication record in top-tier AI conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, etc.).
