Machine Learning Intern/Co-op (Spring/Summer 2026)
Who are we? Our mission is to scale intelligence to serve humanity.
What this role actually needs.
Machine Learning Intern/Co-op (Spring/Summer 2026) at Cohere in Remote (Canada). UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. Who are we? Our mission is to scale intelligence to serve humanity.
Day-to-day expectations
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What a strong candidate brings
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- Design, train and improve upon cutting-edge models.
- Help us develop new techniques to train and serve models safer, better, and faster.
- Train extremely large-scale models on massive datasets.
- Explore continual and active learning strategies for streaming data.
- Learn from experienced senior machine learning technical staff.
- Work closely with product teams to develop solutions.
Why people would want this job
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to machine learning intern/co-op (spring/summer 2026) is a high-signal remote role in remote (canada), and it is most realistic for canada residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use canada residents as part of your positioning so the recruiter does not have to infer it.
- Lead with distributed collaboration, async delivery, and timezone discipline.
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