Technical AI Staff, Scientist

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


Reporting to the President & CEO, and initially assigned to either the Health or Industry Innovation team, you will provide technical and scientific expertise, advice and guidance to Vector staff and key external stakeholders.  You will be a direct public-facing contact with selected external stakeholders from health and other sectors, many of whom are in the position of having data and tasks amenable to AI, but currently lacking internal machine learning expertise.   

In addition to initial critical contributions to the implementation of Vector’s Strategic Plan you will support Vector in achieving its vision and mission more broadly, e.g., by helping to increase Vector staff knowledge of AI and machine learning, and by supporting the Health, Industry Innovation, Education, and Research teams.


  • Work in partnership with members of the Vector team, decision makers and data holding organizations to ensure that, for AI projects that Vector is involved with, there is alignment between (i) the task/objective, (ii) the data and (iii) the model/method selected – this includes serving as a catalyst for Vector-led or co-led efforts/initiatives in order to help increase AI capacity within the organizations;
  • Serve as the lead Vector scientific contributor for health sector projects and corporate/industry projects;
  • Support the Health and Industry Innovation teams to identify and assess opportunities for data driven partnerships and provide scientific oversight for Vector-led or co-led efforts to prepare specific datasets for machine learning research; 
  • Contribute to customized training, certificate programs for health organizations, partners, and Vector sponsors to help increase AI knowledge and the capacity of the system to recognize and act on opportunities to apply machine learning;
  • Support match-making between external stakeholders (e.g., health and other sectors) who are seeking machine learning expertise and Vector faculty, faculty affiliates, and companies who have relevant expertise; and,
  • Perform other functions requires AI and ML knowledge such, providing scientific advice and support to other members of Vector’s leadership team, writing technical report, and participating in review committees.


  • Vector is successful in implementing its health strategy (including the strategic goal to support widespread application of Health AI) and the Industry Innovation sponsor growth and retention strategy.
  • Stakeholders that would otherwise be unable to utilize machine learning techniques are supported in identifying problems amenable to AI, and in utilizing machine learning.
  • Following interactions with the Vector team, external stakeholders are positioned to perform, or secure external resources to perform, their own machine learning (independent of direct Vector involvement).
  • The Technical AI Staff, Scientist contributes to entire the Vector team environment, the Institute’s vision and mission.


  • You have a graduate level degree, PhD preferred, with a focus on machine learning or a related discipline
  • You are motivated to apply machine learning techniques to real-world problems
  • You integrate well into a research environment, and have the capability to perform machine learning research that is suitable for publication in peer-reviewed journals, noting this role is not one that would necessarily result in peer-reviewed publications
  • You have the requisite software skills and experience developing, refining and deploying machine learning models to problems outside of the research sector
  • You understand the limits and constraints associated with regulated data (e.g., related to ability to access and/or link health data, privacy concerns, challenges associated with unstructured or unlabelled data)
  • You are adept at prioritizing conflicting needs, managing limited resources, handling matters expeditiously, and following through on tasks through to successful completion.
  • You have experience providing training and other activities that build the capacity of technical people who do not have machine learning degrees to deploy machine learning techniques
  • You are a good communicator who is interested in helping non-technical people to understand machine learning and other AI techniques
  • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven
  • You are comfortable working with a wide range of clients (e.g., leadership teams, operations staff, graduate students, and external vendors), providing all with a trusted, respectful point of contact
  • You have strong problem-solving skills including the ability to actively manage issues and propose solutions for potential problems before they occur
  • You possess a positive attitude, integrity, a sense of humour, and bring a positive energy and outlook to a not-for-profit corporate culture
  • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem

Please address applications (cover letter and resume) to Kailyn Burke, HR Generalist, using the link provided. We are accepting applications from candidates with health and industry experience. However, based on Vector’s immediate need, applicants with a health sector focus will be reviewed starting April 20, 2020 and applications will be reviewed on an ongoing basis. 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.

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

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