Machine Learning Engineering Intern, Generative Ml

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 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 image processing, Generative AI (diffusion models, LLMs, vision transformers) and/or efficient ML (quantization, pruning, distillation, efficient architectures)
• Knowledge of state-of-the-art compression techniques like quantization, pruning, matrix/tensor factorizations
• Excellent written and verbal communication skills
• A drive to learn new technologies and techniques

Minimum Qualifications:

• Enrolled in BS program for Computer Science or another related field
• Internship or academic experience in research or ML engineering
• 1+ years of experience using Python/C++

Preferred Qualifications:

• Enrolled in a Master's or PhD program with a focus on deep learning, computer vision, generative AI, or other relevant field
• Examples of deep learning projects for image processing
• Publications to top Machine Learning conferences
• Experience working with cloud based systems (AWS/GCP)
• Experience with diffusion models and related architectures

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office at least 80% of the time (an average of 4 days per week). For roles with remote consideration: Remote team members still are expected to travel for mandatory in-person gatherings and to fulfill business needs, at least 4 to 6 times per year.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don't be shy and contact us at accommodations-ext@snap.com.
Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $0-$0 annually.
Zone B:
The base salary range for this position is $0-$0 annually.
Zone C:
The base salary range for this position is $0-$0 annually.
This position is eligible for equity in the form of RSUs.