Pinterest Master's Machine Learning Internship 2027 | SF, NYC, Seattle | $11k/mo
Apply by 19 Jan 2027
Key Facts
| Role | Master’s Machine Learning Intern |
|---|---|
| Company | |
| Location(s) | San Francisco, CA · Palo Alto, CA · Seattle, WA · New York, NY (remote or hybrid by team) |
| Term | 12 weeks — May 17–August 6, 2027 or June 14–September 3, 2027 |
| Pay | $11,000 per month |
| Deadline | Rolling — apply once for US ML teams |
Overview
Pinterest uses this single US posting to staff machine learning internships across several teams. You lead one project on recommendation or ranking problems that sit on a very large saved-ideas graph, and you see the production path: data, training, inference, and the product surface.
Apply only once inside the US or Canada. Teams differ on whether the summer is remote or hybrid near San Francisco, Palo Alto, New York, or Seattle. The posting asks for people already in a master’s program who can write production-quality code and check AI-generated changes instead of pasting them through.
Eligibility / Key Requirements
- Working toward a master’s degree in Computer Science, Machine Learning, NLP, Statistics, Information Sciences, or a related field
- Mastery of at least one systems language (Java, C++, or Python) and one ML framework (TensorFlow, PyTorch, or MLflow)
- Research or analytical problem-solving experience
- Able to explain and validate AI-assisted code for correctness, performance, and security
- US-based applicants for this salary band; one application covers multiple ML intern teams
How to Apply
- Open the official application from EduBard’s Apply button.
- Create or sign in to your employer account.
- Submit one application only (multiple US/Canada applications can slow review).
Compiled from the official posting; verify details on the employer site before applying.