Machine Learing Engineer Intern, Generative ML

About this role

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’re looking for a Deep Learning Intern for our Generative AI team.

What You’ll Do:

• End-to-end machine learning model development including research, design, data preprocessing, training and benchmarking
• Build deep learning models for image/video understanding, generation, transformation and prepare these models for deployment to be used by millions of Snapchatters throughout the world
• Partner with machine learning engineers, software engineers, and research engineers to develop new technology to delight Snapchatters

Knowledge, Skills, & Abilities

• Understanding of ML theory and knowledge of math used in ML algorithms
• Knowledge of widely used and state-of-the-art ML approaches for computer vision Generative AI (diffusion models, LLMs, vision transformers) and/or efficient ML (quantization, pruning, distillation, efficient architectures)
• Understanding of 3D rendering, Gaussian Splatting or NeRF technologies
• Excellent written and verbal communication skills
• A drive to learn new technologies and techniques

Minimum Qualifications:

• Enrolled in Masters program for Computer Science o...