Build with a student team
Collaborate on an ML project, from defining the question and testing ideas to building a prototype and sharing the results.
Machine Learning
@ Columbia
Columbia's first machine learning club. We teach ML from the fundamentals up, then put it to work on projects with fellow students and industry partners.
What we do
Our education program takes students from no ML experience to building and deploying production ML systems. Through workshops and hands-on projects, students learn the fundamentals, train and evaluate models, and build the pipelines and infrastructure needed to run them. Along the way, they work in small teams on student ideas and projects with industry partners.
Open to undergraduate and graduate students across Columbia, including Columbia College, SEAS, Barnard, and GS. No prior ML experience needed.
2026 Summer Placements
Selected projects
All projects
For students
Join ML @ Columbia
Join ML @ Columbia to learn the foundations, find your community, and build something you care about. No prior experience needed.
Interest formWork with us
For companiesBring us a problem worth exploring. We connect companies with Columbia students who want to turn machine learning ideas into working tools.
Connect with top talent
Meet undergraduate and graduate students building ML systems at Columbia. Connect with potential interns and new hires through technical events, project collaborations, and recruiting opportunities.
Support the next generation
Help students learn and experiment through sponsorship, mentorship, or access to tools and compute.