Applied Machine Learning Specialist (ML Systems)

AI Engineering & Technology · Toronto, Ontario
Department AI Engineering & Technology
Employment Type Full Time - Professional Staff
Minimum Experience Experienced



As an Applied Machine Learning Specialist (ML Systems) you will provide technical leadership and contribute to focused research applications to solve real-world problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data specialists and machine learning engineers from leading industry and healthcare organizations. You will collaborate with some of the leading machine learning researchers, data specialists and engineers.



  • Research and implement state of the art machine learning techniques to solve real world problems;
  • Work in collaboration with Researchers, Machine learning specialists, Vector team members and Vector affiliates to build demos, minimum viable products (MVP) and prototypes;
  • Provide advice regarding building machine learning applications and ML product roadmaps 
  • Provide oversight for Vector-led or co-led efforts to prepare and open source specific datasets for machine learning research;
  • Serve as the an AI Engineering team representative to research computing and HPC team; 
  • Serve as an expert and facilitate identification of experts among the Vector research community for external stakeholders (e.g., health and other sectors) to advise on machine learning research trends and applications; and,
  • Other related duties as assigned.



  • A degree in computer science or computer engineering with a research focus on machine learning
  • Strong software engineering and coding skills, with the ability to write high-performance and production-level code
  • Demonstrated expertise in building systems for applying machine learning algorithms for solving business challenges
  • Demonstrated experience applying machine learning research to novel problems and data sets
  • Strong knowledge and experience of Python
  • Experience with large scale machine learning operations such as distributed training, parameter and architecture tuning of deep learning models 
  • Experience using deep learning software frameworks (PyTorch, Tensorflow, JAX, or CUDA)
  • Demonstrated experience with SLURM and bash programming is a plus
  • Experience with high-performance-computing and GPU execution model is a plus
  • Experience with CI/CD and software development life-cycles is a plus

Please address applications (cover letter and resume) to Kailyn Burke, Human Resources Business Partner, using the link provided. Review of applications will begin on August 19, 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.

Thank You

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