Master's Machine Learning Internship 2026 (USA)

Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

With more than 550 million users around the world and 300 billion ideas saved Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3000 global employees our teams are small mighty and still growing. At Pinterest youll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wont find anywhere else.

Note to applicants:

By applying to this role you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid with fixed start dates in May or June to accommodate varying school calendars. Depending on the team our summer internships will be located either remote or hybrid in San Francisco Palo Alto New York or Seattle offices.

We offer 2 internship start dates:

May 18 2026 - August 7 2026
June 15 2026 - September 4 2026

As a Machine Learning Intern at Pinterest youll work on tackling new challenges in machine learning and artificial intelligence. Throughout your internship youll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features creating visually rich experiences spearheading the discovery problem and pinpointing tomorrows engineering challenges.

What youll do:

Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
Collect analyze and synthesize findings from data and build intelligent data-driven models
Write clean efficient and sustainable code
Use machine learning natural language processing and graph analysis to solve modeling and ranking problems across discovery ads and search
Scope and independently solve moderately complex problems
Demonstrate accountability for the quality and completion of your tasks and projects collaborating with your team and seeking guidance as needed

What we are looking for:

Working towards a Masters degree in Computer Science ML NLP Statistics Information Sciences or related field
Machine Learning (ranking computer vision NLP content recommendations embedding information retrieval etc)
Experience with big data technologies (e.g. Hadoop/Spark) and scalable realtime systems that process stream data
Proficiency in at least one systems language (Java C Python) or one ML framework (Tensorflow Pytorch MLFlow)
Experience in research and in solving analytical problems
Strong communicator and team player with the ability to find solutions for open-ended problems

Why Intern at Pinterest

Meaningful Work: Contribute to projects that impact millions of users worldwide.
Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection
This role may require you to be located near an office for in-person collaboration and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable inclusive and inspiring for every an effort to provide greater transparency we are sharing the base salary range for this position. Final salary is based on a number of factors including location travel relevant prior experience or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $11000 monthly.

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Required Experience:

Intern