Co-op Researcher – Computer Vision and Machine Learning

Huawei Canada; Markham; On-site; CAD 40,000 - 60,000; Full time

Job summary

Huawei Canada is offering an immediate co-op position as an Assistant Researcher focusing on cutting-edge technology in computer vision and machine learning. The ideal candidate should be a senior Bachelor or Master’s student in Computer Science, proficient in C++ and Python, with strong software development skills and experience in machine learning techniques. The position requires excellent communication skills and the ability to work under pressure, promoting innovation in AI-related fields.

Qualifications

• Currently enrolled in a relevant degree with strong software development skills.
• Solid knowledge of machine learning and deep learning techniques.
• Experience in applying machine learning to real-world problems.

Responsibilities

• Research and develop technology in computer vision and machine learning.
• Work with image and video analysis using deep learning techniques.
• Optimize algorithms and models for deployment on mobile.

Skills

Software development skills

Machine learning

Deep learning

Computer vision

C++

Python

TensorFlow

Pytorch

Android development

JNI

Education

Senior Bachelor or Master’s in Computer Science or Electrical Engineering

Job description

Huawei Canada has an immediate 8/12/16-month Co‑op opening for an Assistant 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:

• Research and develop state‑of‑the‑art technology in computer vision and machine learning.
• Work with various types of image and video analysis, using cutting‑edge deep learning and computer vision techniques.
• Work on optimization of algorithms and machine learning models for deployment on mobile.

About the ideal candidate:

• Currently enrolled in senior Bachelor or Master’s in Computer Science, Electrical Engineering or a related technical field, having strong software development skills, previous internship experiences with C++ and Python development.
• Solid knowledge of machine learning and deep learning techniques. Experienced in applying machine learning and computer vision to real‑world problems.
• Experience with TensorFlow, Pytorch, or other deep learning frameworks.
• Experience with Android development and familiar with JNI is an asset.
• Excellent verbal and written communication skills, self‑motivated, with creative thinking and attention to details. Excellent organization skills under pressure and dynamic priorities, effectiveness in prioritizing tasks.
• Experience in training, regularization, generalization and evaluation of deep learning models, demonstrated through internships and projects.
• Experience with and knowledge of at least one deep learning architecture (Transformers, GNN, CNN, GAN, LSTM, VAE, ...).
• Demonstrated experience with Computer Vision projects in industry.