Research Engineer Intern

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 its 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 a Research Engineering Intern to join our User Modeling and Personalization Research Team for a 16-week internship in Spring/Summer/Fall of 2026. Our team’s mission is to invent new ways to model user behavior, and empower our business partners to build world-class user-centric ML systems which shape personalized experiences across Snap.  Our work spans the domains of user behavior understanding, structured data modeling, recommendation systems, and efficient large-scale machine learning. Together with you, we seek to redefine the state-of-the-art in technology to deliver our users customized experiences which delight them.

What you'll do:

• Lead applied research and software engineering efforts for large-scale ML initiatives in the areas of graph modeling, generative recommendation, personalization, and/or efficiency

• Evaluate technical tradeoffs, perform code reviews and write high code-quality code

• Build robust, lasting, and scalable systems and iterate without compromising quality

• Partner with engineering teams to deliver your technology to millions of Snapchatters

• Learn and apply new software engineering skills 

Knowledge, Skills, & Abilities:

• Demonstrated ability in software development and machine learning

• Strong computer science fundamentals and problem-solving skills

• Strong understanding of machine learning approaches, algorithms, and data structures

• Reading and reproducing machine learning algorithms from scientific publications
   

Minimum Qualifications:

• Strong proficiency in Python

• Familiarity with at least one common machine learning framework as PyTorch, Tensorflow, Keras, JAX, Numpy etc.

• Must be currently enrolled in a Ph.D. program in a technical field such as computer science (preferred) or equivalent research-intensive graduate program post undergrad. Must have a graduation date no sooner than your intended internship end date.

Preferred Qualifications:

• Internship or academic experience working on challenging and innovative computer science and/or ML research or engineering projects

• Proven experience in implementing and applying machine learning methodologies in real-world applications

• Experience with distributed data processing frameworks like Apache Spark and/or Beam, data pipelines and MLOps

• Experience working with cloud-based systems (GCP, AWS)

• A passion for Snapchat and creativity!

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