Closed listing
Co-op Researcher-Computer Vision and Machine Learning
- Markham, ON, Canada
On-site
Internship
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Internship
- Workplace
- On-site
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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 videos and image analysis using cutting-edge deep learning and computer vision techniques.
Take into consideration of the mobile computing constraints for the optimization of algorithms and machine learning models.
About the ideal candidate:
Currently enrolled in Bachelor or Mater program in Computer Science, Electrical Engineering or a related technical field, having strong software development skills, previous internship experiences with C++ and Python development.
Solid understanding of computer science fundamentals (Data Structure / Algorithm).
Good understanding of machine learning techniques (Regression / SVM / PCA / neural networks, etc.).
Experience with applying machine learning or computer vision to real-world problems.
Coding language: Python and libraries such as numpy, matplotlib, scikit-learn. Deep learning frameworks (at least one): TensorFlow, PyTorch, etc.
Experience with image processing libraries (e.g. OpenCV and ffmpeg) and softwares (e.g. Adobe Photoshop) is an asset.
Experience with AIGC tools (e.g., Stable Diffusion, Flux, plugins like ControlNet) is an asset.
Experience with deploying neural networks on edge devices, Android development, and JNI, is an asset.
More about this job
Responsibilities
The Assistant Researcher at Huawei will help build new computer vision and machine learning technology. They will analyze images and videos with deep learning and make algorithms and models run efficiently on mobile devices.
Requirements
Candidates need to be enrolled in a Bachelor's or Master's program in computer science, electrical engineering or a related field. They need internship experience with C++ and Python, a solid grasp of data structures and algorithms, and knowledge of machine learning and at least one deep learning framework.
Skills
- Python
- C++
- Data structures and algorithms
- Machine learning
- Regression
- Support vector machines
- Principal component analysis
- Neural networks
- Computer vision
- Deep learning
- TensorFlow
- PyTorch
- NumPy
- Matplotlib
- scikit-learn
- OpenCV
- ffmpeg
- Image processing
- Video analysis
- Adobe Photoshop
- Stable Diffusion
- ControlNet
- Model optimization
- Edge device deployment
- Android development
Categories
- Technology
- Software
- Data & Analytics
- Science & Research
Keywords
- computer vision
- machine learning
- deep learning
- internship
- co-op
- research assistant
- Python
- C++
- TensorFlow
- PyTorch
- OpenCV
- ffmpeg
- scikit-learn
- NumPy
- Matplotlib
- neural networks
- image processing
- video analysis
- edge AI
- Android
Seniority
Entry level
Tools
- Python
- C++
- TensorFlow
- PyTorch
- OpenCV
- ffmpeg
- scikit-learn
- NumPy
- Matplotlib
- Adobe Photoshop
Fields of study
- Computer Science
- Electrical Engineering