Applied Machine Learning Intern

AI Engineering & Technology · Toronto, Ontario
Department AI Engineering & Technology
Employment Type Intern - Professional Staff
Minimum Experience Entry-level


As a Vector Applied Machine Learning Intern, you will contribute to developing reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of the best and brightest fulltime AI developers and machine learning researchers and will work with leading industry sponsors and healthcare institutions to apply AI. You will report to a member of the AI Engineering team and work closely with the team on your software development projects for day-to-day direction.

Start date: Fall 2021 (part-time or full-time)


As a Vector Intern, you will work part-time (up to 20 hours per week) or full-time over the Fall (September to December) academic term. You will participate in initiatives aimed at strengthening the AI ecosystem in Ontario. During your paid internship, you will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem.


  • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
  • Develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
  • Develop open source software for applying AI research techniques to common problems;
  • Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;
  • Develop prototypes and proofs of concept; and,
  • Report and present on software development including status and results.



  • Currently enrolled in a Bachelor's, Master's or PhD program at a Canadian university in computer science, mathematics, electrical engineering, or related discipline . Bachelor's students must be in third year or above.
  • Experience in machine learning and/or statistics.
  • Software engineering background with experience in industry.
  • Data engineering background working with messy real-world data.
  • Analytical skills to identify signals in data and feasibility of prediction.
  • Knowledge and experience of Python.
  • Experience with parameter and architecture tuning of deep learning algorithms is preferred
  • Experience in leading open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA).
  • Data science experience is considered an asset.
  • Experience with or Interest in AI Systems development, large language models, recommender systems or deep generative models is a plus.

Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. The deadline for submission is July 29, 2021. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

If you require an accommodation at any point throughout the recruitment and selection process, please contact and we will happily work with you to meet your needs.

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  • Location
    Toronto, Ontario
  • Department
    AI Engineering & Technology
  • Employment Type
    Intern - Professional Staff
  • Minimum Experience