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Senior Applied Machine Learning Specialist

Vector Institute
Toronto (City), Ontario (CA)
Closing date
Jul 7, 2022

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As a Senior Applied ML Specialist, 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 ML engineers and data scientists at Vector and leading industry and healthcare organizations. You will also collaborate with some of the best and brightest machine learning researchers.




  • Deliver software and models for AI development projects following an agile methodology with teams that can include Vector Applied ML specialists, Applied ML scientists, professional staff, researchers, students and sponsors
  • Design and 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
  • Design, develop and contribute to open source software that applying AI research techniques to common problems
  • Lead and support Associate ML Specialists in ML projects through requirements scoping, delegation of tasks, model validation, and advisory on implementation-related issues
  • Mentor sponsor engineers and student researchers on industry collaboration projects that apply AI research to shared problems, mentoring on engineering best practices, and assisting with operational issues
  • Develop prototypes and proofs of concept
  • Report and present software development outcomes for team efforts including demos, status and results




  • Master's degree in computer science, mathematics, electrical engineering, or related discipline; 
  • Experience applying machine learning research to novel problems and data sets
  • Demonstrated experience in machine learning and/or statistics
  • Demonstrated data engineering background working with messy real-world data
  • Demonstrated analytical skills to identify signal in data and feasibility of prediction
  • Knowledge and experience of Python and preferably C/C++ and C#
  • Software engineering background with experience in production deployment is preferred
  • Experience working on teams that land high quality software successfully in production is preferred
  • 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) is preferred
  • User interaction/design expertise with Human-Computer Interaction (HCI) engineering considered an asset
  • Candidates with more than two years of work experience are preferred




Please address applications (cover letter and resume) to Richard Haldane, Talent Acquisition Specialist, using the link provided. The deadline for submission is June 28, 2022. 


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.


The Vector Institute is an independent, not-for-profit corporation dedicated to research in the field of artificial intelligence (AI), excelling in machine and deep learning.

The Vector Institute launched in March 2017 with generous support from the Government of Canada, Government of Ontario, and private industry, and in partnership with the University of Toronto and other universities.

The Vector Institute will work with institutions, industry, start-ups, incubators and accelerators to advance AI research and drive its application, adoption and commercialization across Canada.

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