Machine Learning Associates — student info session (Cohort 13)
Vector Institute
Why this might be useful for you
Paid four-month AI projects with Canadian startups for students and recent grads. The cohort-13 call-for-participation info session is October 2, 2026.
- Free
- In the GTA
Format & location
Hybrid · Vector Institute, Toronto (info session details on the event page)
Date
Oct 2
Application deadline
No fixed deadline — check the official page
Experience level
Intermediate
About this opportunity
Vector Institute's Machine Learning Associates (MLA) program places students and recent graduates on four-month, paid AI projects with Canadian startups — real applied work, not coursework. Vector lists the rate as $25/hour. Vector's events calendar confirms a Student Call for Participation / Info Session for MLA Cohort 13 on October 2, 2026. That session is the entry point: it walks through what the cohort involves, who is eligible and how the call for participation works. Recent cohorts have expected Python proficiency and some experience with generative AI techniques. Worth knowing that most of Vector's other calendar events (sponsor roundtables, applied bootcamps) are restricted to sponsors, researchers and invited partners — the student CfP sessions are the part of the calendar genuinely aimed at people early in their careers.
What you get
- Paid four-month applied AI project with a Canadian startup ($25/hour, per Vector)
- Direct exposure to how AI work happens outside a classroom
- Info session covering eligibility and the call-for-participation process
Who can take part
Check eligibility. This one is restricted: Students & recent grads, Specific background required.
- Students & recent grads
- Specific background required
Students and recent graduates. Recent MLA cohorts have expected Python proficiency and experience with generative AI techniques — confirm the cohort-13 criteria at the session.
Eligibility is copied from the organizer's own published rules — they make the final call. Confirm on the official page before you apply.
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