Applied Machine Learning Intern

Position Overview

Internship Details

• The applied internship program provides relevant, hands-on learning and work experience in machine learning and AI.
• During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the AI ecosystem.
• Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Winter academic term (January 11 - April 23, 2027) with an opportunity to continue over the Summer 2027 academic term.
• This role gives preference to candidates who are available on a full-time basis in the Winter term; however, all candidates will be considered.

Key Responsibilities

• Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors.
• 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.
• Develop open source software for applying AI research techniques to common problems.
• Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues.
• Develop prototypes and proofs of concept.
• Report and present on software development including status and results.
• Other duties as assigned.

Profile of the Ideal Candidate

• You are a self-identified Black or Indigenous student or postdoctoral fellow (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit) or a recent graduate.
• You are in second year or higher, studying at a Canadian university or college, or a recent graduate within one semester of graduation.
• Experience in machine learning and/or statistics.
• Data engineering background working with messy real-world data is preferred.
• Analytical skills to identify signals in data and feasibility of prediction.
• Knowledge and experience of Python.
• Experience with parameter and architecture tuning of deep learning algorithms is preferred.
• Experience in leading open source deep learning software frameworks (e.g., PyTorch, Tensorflow, and CUDA).
• Experience with or Interest in AI Systems development, large language models, recommender systems, or deep generative models is a plus.

Nice to Have

• Data science experience is considered an asset.
• Software engineering background with experience in industry is considered an asset.
• Experience working on systems level programming on SLURM is an asset.
• You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
• You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

Compensation

• Compensation: $32/hour.
• Position status: This posting is for an existing vacancy.

Application Notes

• Vector may use both internal and external third party AI-based tools to assist in the screening of applications for this posting.
• Please address applications (cover letter and resume) to the Research Operations & Academic Partnerships team, using the link provided.
• The deadline for submission is October 1, 2026, at 1:00PM ET.
• All interviews are currently being held remotely.

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