Co-op Researcher – Computer Vision and Machine Learning

Reposted 12 Days Ago
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Markham, ON, CAN
In-Office
Internship
Information Technology • Other
The Role
Assist in research and development of computer vision and machine learning technologies through deep learning and image analysis. Optimize algorithms for mobile deployment and contribute to projects involving image and video analysis.
Summary Generated by Built In

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.

Skills Required

  • Currently enrolled in senior Bachelor or Master's in Computer Science, Electrical Engineering or related field
  • Strong software development skills, experience in C++ and Python
  • Solid knowledge of machine learning and deep learning techniques
  • Experience with TensorFlow, Pytorch, or other deep learning frameworks
  • Excellent verbal and written communication skills
  • Experience with Android development and familiar with JNI
  • Experience in training, regularization, generalization, and evaluation of deep learning models
  • Knowledge of at least one deep learning architecture (Transformers, GNN, CNN, GAN, LSTM, VAE)
  • Demonstrated experience with Computer Vision projects in industry
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The Company
HQ: Markham, Ontario
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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