Entry level machine learning engineer • scarborough on
Huawei Canada has an immediate 8/12/16-month Co-op opening for an Assistant Researcher.Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievemen... Show more
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Education: No degree, certificate or diploma.Experience: 1 to less than 7 months.Do you have experience working in this field?.Learning/training paid by employer. Show more
Education: No degree, certificate or diploma.Experience: 7 months to less than 1 year. Show more
Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of bet... Show more
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Execute and perform testing as per methods, following the company’s Standard Operating Procedures, Deviations and Change Control programs and cGMP guidelines.Ensure that work order documentation is... Show more
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Location: Hybrid role based near Markham, Canada.Gain hands-on experience through regular customer visits across the local area 2–3 times per week while enjoying a mix of remote, and ... Show more
Chief Learning Officer (CLO), AI & Ed Tech About the Company Globally recognized education-focused organization Industry Education Management Type Non Profit Founded 2007 Employees 51-200 Ca... Show more
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.
Job requirements
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.
