Machine Learning Associate
Vector Institute Toronto, Ontario, Canada
Research Services · 51-200 employees
About the role
The Machine Learning Associate will collaborate with SMEs to design, develop, and deliver proof-of-concept AI solutions focused on Generative and Agentic AI. They are responsible for pre-processing data, building and deploying models, and ensuring business value through iterative experimentation and documentation.
What they look for
Requirements
Candidates should have completed at least one machine learning project and possess proficiency in Python along with knowledge of AI frameworks and cloud platforms. Experience with LLM application frameworks and a background in academic or professional AI research is highly valued.
Full description
Machine Learning Associate (MLA)
POSITION OVERVIEW
The Vector Institute is seeking Machine Learning Associates (MLAs) to join the FastLane MLA Program. In this role, MLAs will be matched with Canadian small- and medium-sized enterprises (SMEs) to work on applied projects focused on Generative AI and Agentic AI. Working in teams of two to three individuals, MLAs will design, develop, and deliver proof-of-concept AI solutions that address real-world business challenges.
This position may be remote, hybrid, or onsite, and offered in either full-time (36.25 hours/week) or part-time (20 hours/week) formats. Specific work arrangements will be discussed during the interview based on company requirements and MLA availability. MLAs will receive technical mentorship and structured support from Vector’s Technical Advisors and Project Specialists throughout the project cycle.
Start date: January 18, 2027
End date: May 7, 2027
FASTLANE MLA PROGRAM AT VECTOR
The FastLane MLA Program is a four-month, cohort-based initiative led by the Vector Institute and designed to support the career growth of early-stage AI professionals while accelerating AI adoption in Canada’s small- and medium-sized enterprises (SMEs). The program connects graduate-level AI talent with innovative companies to deliver applied AI solutions that create real business value.
KEY RESPONSIBILITIES
Understand Business Case
- Work with a company and MLAs to frame the AI problem based on business needs;
- Research and design effective AI solutions aligned with the company’s business goals, data readiness, and infrastructure constraints; and,
- Break down complex problems into minimal milestones and a project plan that ensures value delivery within the project timeline.
Develop Proof-of-Concept (POC)
- Pre-process data to meet the quality and format needs of the AI model or pipeline;
- Develop, test, and evaluate models and pipelines to deliver robust, scalable AI solutions;
- Deploy AI solutions on company-provided infrastructure, such as GCP, AWS, or Azure;
- Refine and optimize an AI solution through iterative experimentation; and,
- Rapidly design, develop, and deliver AI solutions tailored to the company’s use case.
Deliver Business Value
- Engage in regular touchpoints with Vector and the company to align with business needs;
- Utilize learning sessions and office hours to transfer knowledge and support the company’s AI adoption efforts;
- Create project documentation, including a Showcase Day presentation and Final Report;
- Ensure seamless handover to the company through clear and well-documented deliverables; and,
- Perform other duties as required to ensure project success.
PROFILE OF THE IDEAL CANDIDATE
- conducting research under the supervision of a Vector Institute Faculty Member.
- You have completed at least one machine learning project involving design, development, and deployment in either an academic or professional setting.
- You are proficient in Python programming.
- You have knowledge of AI techniques related to Generative AI and Agentic AI, such as prompt engineering, fine-tuning, autonomous agents, memory and tools integration.
- You have hands-on experience with leading ML frameworks and tools commonly used in multimodal AI and agentic workflows, such as TensorFlow, PyTorch, OpenAI APIs or equivalent, Transformers library, LangChain, and Streamlit or Gradio.
- You have prior experience deploying AI solutions in real-world or production environments.
- Experience with LLM application frameworks, backend deployment (e.g., FastAPI), and cloud platforms (AWS, GCP, or Azure) is an asset.
- You are available for the full duration of the cohort, with no more than 20-hours per week of other commitments if part-time, or no other ongoing commitments if full-time.
NICE TO HAVE
- You have a portfolio of ML/AI projects across academic, professional, or personal contexts.
- You have participated in rapid AI development settings such as various AI-themed hackathons, the AI4Good Lab, etc.
- You have published research or conference papers related to artificial intelligence.
- You achieved professional certifications related to ML/AI solution development.
- You have received scholarships or awards in recognition of your work in AI.
- You have experience with software development practices, tools, or workflows.
COMPENSATION: $32/hour.
POSITION STATUS: This posting is for an existing vacancy.
USE OF ARTIFICIAL INTELLIGENCE
Vector may use both internal and external third party AI-based tools to assist in the screening of applications for this posting. Any data collected will be used solely for recruitment purposes and handled in accordance with Vector’s External Privacy Policy and Use of AI-Based Tools in Recruitment and Selection Policy.
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 hr@vectorinstitute.ai. The Vector Institute team will be happy to work with you to ensure your experience is as inclusive and accessible as possible.
HOW TO APPLY
If you're interested in this opportunity, please carefully review the key responsibilities and requirements outlined above.
Submit your application through this application portal before 11:59 p.m. ET on Friday, October 16, 2026.
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 meetings are currently being held remotely.
JOIN OUR COMMUNITY
View 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.
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