Research Engineer
Vector Institute
Toronto Ontario
1d ago

The Vector Institute is seeking a Research Engineer to join our growing team in Toronto.


As a Vector Research Engineer, you will discover, invent, and build innovative solutions alongside some of the best and brightest machine learning researchers in the world, and will contribute to research breakthroughs in machine learning and AI.


  • Drive collaborative research projects forward by designing and developing research software and experiment infrastructure / automatic managers;
  • Conduct performance evaluation and optimization of algorithms;
  • Provide programming support and develop a range of prototype applications and demos;
  • Architect and implement software libraries to support organization-wide research; and
  • Report and present software developments including status and results.

  • Bachelor's degree in computer science, mathematics, electrical engineering or related discipline; MSc / MEng preferred
  • Minimum 3 years’ experience in machine learning and / or statistics
  • 1-2 years’ software engineering background
  • Strong knowledge and experience of Python and C / C++
  • Strong knowledge of algorithm design
  • Experience with parameter and architecture tuning of deep learning algorithms is preferred
  • Experience in the tools used by our researchers preferred (e.g. Tensorflow, CUDA, and PyTorch)
  • User interaction / design expertise with Human-Computer Interaction (HCI) engineering considered an asset
  • Please address your applications to Kailyn Burke, HR Generalist.

    Please include the names and contact details for 3 references along with your application. References will only be contacted if the applicant proceeds to the final stages of interviews and with the applicant's consent.

    Please do not provide reference letters.

    The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons / visible minorities, Indigenous peoples, persons with disabilities, and LGBTQ+ persons.

    All qualified candidates are encouraged to apply.

    Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact Kailyn Burke at kailyn.

    burke and we will happily work with you to meet your needs.

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