Machine Learning Engineer Intern, Summer 2026

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and it's AR glasses, Spectacles.

Snapchat is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it’s always the fastest way to share a moment!   

We are looking for Machine Learning Engineer Interns to join us for a 13-week Internship Program at Snap Inc! 

What you’ll do:

• Create models which help drive value for users, advertisers, and our company

• Evaluate the technical tradeoffs of every decision

• Perform code reviews and ensure exceptional code quality

• Build robust, lasting, and scalable products Iterate quickly without compromising quality

Knowledge, Skills & Abilities:

• Strong understanding of machine learning approaches and algorithms

• Able to prioritize duties and work well on your own

• Ability to work with both internal and external partners

• Skilled at solving open ambiguous problems

• Strong collaboration and mentorship skills

Minimum Qualifications:

• Currently enrolled in a Bachelor’s or Master’s program in a technical field such as Computer Science

• Graduating between December 2026 and Spring 2027

• Must be able to start in office for a 13-week internship that starts in May or June 2026

• Machine learning internship, project, academic experience

Preferred Qualifications:

• Internship or academic experience working on challenging and innovative computer science projects

• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks

• Experience working with machine learning, ranking infrastructures, and system design

• Experience with mobile apps and/or databases

• A passion for Snapchat and creativity!