About the role#
We are looking for students to join us for a full-time internship during the Fall 2026 or Winter 2027 terms. You will work on machine learning models and NLP products alongside our engineering team. We treat interns like full-time employees, meaning you will have the autonomy to push code to production and take ownership of your projects. We are hiring for roles across frontend, backend, full-stack, and infrastructure teams.
What you'll do#
- Ship code for user-facing products and browser-based interfaces.
- Build features for our API platform that directly impact users.
- Design and implement data pipelines, including crawlers, storage, and filters.
- Build scalable services and infrastructure for machine learning development.
- Create internal tooling like CI/CD and developer utilities to help the team move faster.
- Maintain technical documentation for both internal and external use.
What you'll need#
- Current enrollment in a post-secondary program.
- Availability for a full-time 3-6 month internship.
- Interest in building machine learning models and NLP products.
- Experience with coding or engineering practices.
- Ability to work autonomously and take ownership of projects.
- Academic background in Computer Science, Computer Engineering, Data Science, Mathematics, or Electrical Engineering.
Location & details#
- This is a remote role.
- Available to candidates based in Canada and the United States.
- This is a paid, full-time internship.
- We do not provide visa sponsorship for this position.
About Cohere
Cohere builds foundation models and artificial intelligence products for enterprise use. Founded in 2019, the company focuses on natural language processing and machine learning. It provides tools that allow businesses to deploy AI across private cloud environments or on-premises. The company maintains its headquarters in Toronto and operates several international offices.
How to get in at Cohere
Applying to Cohere early provides a distinct advantage because recruiters review initial submissions before the volume of candidates becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and ensure your materials are seen before the pile grows. Reaching out to the right people often yields better results than submitting an application into a general queue. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral, which materially improves response rates.
