Machine Learing Engineer Intern, Generative ML

Snap

Job Location:

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Were looking for a Deep Learning Intern for our Generative AI team.

What Youll 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 or another related field with a graduation date no earlier than December 2026
Internship or academic experience in research or ML engineering
1 years of experience using Python
Must be available to start in office in for a 13-week internship that begins in May or June 2026

Preferred Qualifications:

Enrolled in a Masters or PhD program with a focus on deep learning computer vision generative AI or other relevant field
Examples of deep learning projects for generative AI video understanding and generation
Publications to top machine learning conferences
Experience working with cloud based systems (AWS/GCP)
Experience with diffusion models and related architectures

#LI-DNI

Required Experience:

Intern