Computer Vision Researcher

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

We are looking for academic research-focused co-ops who could commit for a minimum 8-month internship?to join our Noah's Ark Lab.

• Conceive, plan, develop and implement scientific research projects to advance scientific knowledge in business-relevant areas
• Conduct academic & applied research with a collaborative team of researchers by developing core algorithms and platforms of computer vision to enhance the core competitiveness and user experience of Huawei's related products.
• Generate high-quality patents and/or academic publications in the areas of applied ML, computer vision and graphics?(e.g. CVPR, ECCV, ICCV, SIGGRAPH?etc.)

Qualifications

• Co-op students: Currently enrolled in graduate studies in computer science, ECE or related STEM field and registered with school’s co-op program OR undergrad student who can commit 8-monthintern ship.
• PEY students: currently enrolled in University of Toronto PEY program.
• Familiar with at least one area of visual image enhancement, semantic understanding and reasoning of images(e.g., intelligent scene recognition, saliency detection, image semantic, color balance, image super-resolution and denoising, OCR, image search and image captioning etc.)
• Good track of record in top academic conferences/publications (i.e., CVPR, ICCV, NeurlIPS, ECCV, AAAI?etc. ) is a HUGE ASSET.
• A passion for creating innovative techniques, and making them robust and scalable
• Ability to distill vague product experiences into concrete problem definitions
• Solid programming skills with C++ and/or Java and/or Python
• Creative, collaborative, and innovation-focused

Additional Information

Huawei Canada is committed to providing valuable co-op opportunities to both undergraduate and graduate students.

Working with us provides you the opportunities to integrate theoretical knowledge with practical skills, to network with world leading professionals, and most importantly, to experience the cutting-edge technology before everyone else.

We have internships throughout the year for you?to choose from, co-op work term (4, 8, 12, 16 months) may begin in September, January, and May. Join us and together we will pave the way towards a better connected world.