Machine Learning Summer School (MLSS) 2026

Industry & Professional Applications (Limited Seats):

By popular demand, we are opening a limited number of seats for industry researchers and later-career researchers to attend MLSS NYC 2026. This track is intended for applicants who already have substantial research or applied ML experience and are looking for an intensive, advanced program alongside the MLSS student cohort.

Application deadline: May 29, 2026 at 11:59pm ET

Attendance options & fees (USD)

One-week attendance: $3,500
Two-week attendance: $5,000

Housing: Housing is not included by default for industry/professional participants. We will share recommended accommodation options with admitted participants.

What’s included

Access to MLSS lectures, tutorials, and program sessions for your selected attendance period
Participation in scheduled networking and community events
Access to recorded program materials and resources
Participation in school-wide poster session

Selection

Because capacity is limited, admission is competitive. We evaluate applications based on research contributions and/or applied ML experience, relevance to the program, and expected contribution to the learning environment.
(Note: if you had already applied via the student application, you do not need to apply again.)

Apply here: Industry Applications

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Program

FAQ

Travel/Financial Aid (TBA)

Machine Learning Summer School 2026

We are pleased to announce that the Machine Learning Summer School 2026 will run for two weeks in June 2026 in New York City, at the Columbia University campus. We will host approximately 200 PhD students alongside key faculty, industry speakers, and invited practitioners to take part in a rigorous program that will balance practical training on state-of-the-art systems (evaluation, agentic AI, RAG, data pipelines) with forward-looking research areas (alignment/safety, interpretability, verification & reasoning).

Our objectives are to deliver a rigorous curriculum, an excellent experience for participants, and measurable impact on research. The program will combine lectures, tutorials, invited talks, and hands-on labs. In addition to reinforcement learning theory, LLM alignment/safety, RAG & agents, and time series analysis, the program will include systems and efficiency for LLMs, post-training and preference optimization, synthetic data practices, evaluation, mechanistic interpretability, and reasoning.

We aim to make MLSS accessible. A limited pool of travel assistance and need-based financial aid is available for qualified students. Requesting support will not negatively affect the evaluation of your application. If you request support, we may ask for brief additional information to assess eligibility.

Registration fee payment will be due after acceptance and confirmation of attendance. Details on payment, the discounted non-housing rate, and financial support decisions will be shared with admission notifications.

Applications: Deadline to apply: Sunday, March 22nd at 11:59 EST.

MLSS NYC 2026 has a registration fee of $800 for the two-week program for admitted participants. The standard fee includes two weeks of housing and covers program costs (lectures, facilities, and on-site support).

We will also offer a discounted registration fee for admitted participants who do not require housing. If you select the “no housing” option, you will receive the discounted rate and instructions at the time of acceptance.

Event Information

The event is being jointly overseen by a Steering Committee and a Local Organizing Committee led by Columbia University for campus operations. The organizers represent Bloomberg, Columbia Engineering (SEAS) and Columbia’s Data Science Institute (DSI), the NYU Center for Data Science (CDS), and Cornell Tech.

At a glance: