Job Description

Associate Applied ML Specialist

POSITION SUMMARY

As an Associate Applied ML Specialist, you will develop reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of Vector’s best and brightest ML engineering staff, researchers, and data scientists along with leading industry and health organizations.

KEY RESPONSIBILITIES

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, and industry 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 applies AI research techniques to common problems;
Mentor industry sponsor engineering staff and researchers on industry collaboration projects that apply AI research to shared problems, mentor engineering best practices, and assist with operational issues;
Develop prototypes and proofs of concept;
Report and present software development outcomes for team efforts, including demos, status updates, and results; and,
Other related duties as assigned from time to time.

KEY SUCCESS MEASURES

Timely development and delivery of high-quality software and AI models in support of internal and external development stakeholders;
Effective AI knowledge-transfer to internal and external stakeholders through clear communication of software and AI model development progress, demos and results presentations; and,
Active and constructive participation in diverse and interdisciplinary teams, contributing to a positive team environment.

PROFILE OF THE IDEAL CANDIDATE

Bachelor’s degree in computer science, mathematics, electrical engineering, or a related discipline;
Demonstrated experience in machine learning and statistics;
Experience applying machine learning research to novel problems and data sets;
Strong programming skills in Python;
Experience working with one or more leading open-source deep learning software frameworks like PyTorch, TensorFlow, HuggingFace, JAX, CUDA, etc.;
Demonstrated data engineering background working with messy real-world data;
Experience with parameter and architecture tuning of deep learning algorithms is preferred;
Proficiency in software engineering best practices, version control systems, and collaborative development environments;
Experience working on teams that land high-quality software successfully in production is a plus;
Strong problem-solving abilities, with the capability to bridge the gap between ML research and practical software engineering solutions; and,
Excellent communication and collaboration skills, with the ability to work effectively in a research-driven and dynamic environment.

TOTAL REWARDS: The expected salary for this position will be $80,500 – $100,600 per year, plus benefits if applicable. The final salary offer will reflect the successful candidate’s experience, skills, and qualifications, in alignment with the Vector Institute’s Compensation Policy and may differ from above.

The Vector Institute’s Total Rewards approach extends beyond traditional compensation and benefits. Full-time employees are eligible for a comprehensive suite of supports that recognize and value employees, including vacation time, floater days, GRRSP, a Health Spending Account, a Summer Hours program, and flexible work arrangements.

POSITION STATUS: This posting is for two existing vacancies.

INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT: Vector believes AI powers possibility by advancing cutting-edge research and translating it into real-world impact through collaboration with research, industry, and government. Vector is committed to fostering a diverse and inclusive culture that reflects its values.
The Vector Institute welcomes applications from all qualified candidates, including those who are Indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.
If you require an accommodation at any stage of the recruitment or selection process, please contact [email protected]. The Vector Institute team will be happy to work with you to ensure your experience is as inclusive and accessible as possible.
JOIN OUR COMMUNITY: Check out the Vector Institute’s Careers Page to explore open opportunities at Vector and Follow Vector on X, LinkedIn, and Bluesky to stay connected with the latest developments in Ontario’s AI ecosystem and the Vector Institute.

Required languages: English

Education level: Bachelor's degree in computer science, mathematics, electrical engineering, or a related discipline

Required skills: Demonstrated experience in machine learning and statistics; Experience applying machine learning research to novel problems and data sets; Strong programming skills in Python; Experience working with one or more leading open-source deep learning software frameworks like PyTorch, TensorFlow, HuggingFace, JAX, CUDA, etc.; Demonstrated data engineering background working with messy real-world data; Experience with parameter and architecture tuning of deep learning algorithms is preferred; Proficiency in software engineering best practices, version control systems, and collaborative development environments; Experience working on teams that land high-quality software successfully in production is a plus; Strong problem-solving abilities, with the capability to bridge the gap between ML research and practical software engineering solutions; and, Excellent communication and collaboration skills, with the ability to work effectively in a research-driven and dynamic environment.

Closest intersection: College Street and University Avenue