About this role
The Machine Learning Intern role at Cohere in Canada is a remote-friendly internship opportunity designed for students seeking to build advanced foundation models and enterprise AI systems. This position suits enrolled post-secondary students who want to gain hands-on experience in cutting-edge machine learning research and production deployment.
Role Overview
Cohere is hiring a Machine Learning Intern for the Winter 2027 term. This internship provides students with the chance to work alongside seasoned machine learning professionals to ship state-of-the-art models to production. Interns will tackle complex challenges in natural language processing, train large-scale systems on massive datasets, and wear multiple hats while shaping the future of enterprise artificial intelligence.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Cohere is a leading security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products to solve real-world business problems. Operating as a global technology company with a remote-friendly culture, Cohere maintains a headquarters in Toronto alongside key international offices in London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
How to Apply
Interested candidates should review the full details and submit their application directly on the official Cohere careers page.
Skills and tech stack
Questions candidates ask
Who is eligible to apply for this internship?
To be eligible, you must be a student currently enrolled in a post-secondary program and available for a full-time 3 to 6-month internship, co-op, or research work term.
Is the Machine Learning Intern position remote?
Yes, the role is remote-friendly in Canada, though Cohere also has physical offices in cities like Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
What programming languages and frameworks are required?
Applicants need proficiency in Python and related machine learning frameworks such as TensorFlow, TF-Serving, JAX, and XLA/MLIR.
What kind of experience is considered a bonus for this role?
Bonus qualifications include experience writing GPU kernels using CUDA, training models on TPUs, and having published papers at top-tier venues like NeurIPS, ICML, ICLR, ACL, and EMNLP.
How do I submit my application?
You should apply directly through the official Cohere careers page.