Snapchat
Direct Workday career site

2027 Generative Media Research Intern

Pay
$69,000 – $121,000 per year
Location
Los Angeles, CA
Listed
Yesterday

About the 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 operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.

At Snap, we create new technology that inspires our Product and Design teams, and we partner with Engineering to help develop and deliver innovative new features and products. We explore opportunities for technology transfers and academic publications, and regularly publish in leading journals and conferences. We are especially interested in fostering ongoing collaborations and are open to projects that last beyond the internship. We strive to create an environment that is both productive and fun.

We are looking for interns who are excited about pushing the state of the art technology and research in large generative models, GenAI efficiency, personalization, 3D & 4D generation and understanding, visual-language models, large scale data, and inference frameworks.

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)

What you'll do

  • Collaborate with world class researchers and engineers in your area of expertise
  • Develop state of the art technology that will impact our products
  • Work toward publishing and/or patenting your research

Knowledge, Skills, & Abilities

  • Strong problem-solving skills
  • Ability to thrive in a fast-paced, dynamic, and collaborative work environment
  • Proven ability solving tough technical challenges

Minimum Qualifications

  • Enrolled in a graduate program (PhD preferred) in a technical field, such as Computer Science, Graduating no sooner than May 2027
  • Experience conducting academic research and applying technical concepts to real-world problems
  • Strong academic performance in technical coursework
  • Clear vision for how research initiatives could contribute to future innovation at Snap
  • Must be able to work in office for a 13-16 week internship in 2027

Preferred Qualifications

  • Strong publication records in world's top venues in our field: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH and similar venues.
  • Previous experience with large generative models: large scale training and tuning, large scale data, large scale inference, model post-training, model efficiency.
  • A passion for research and Snap Inc. products.

Additional information

"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 4+ days per week.

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. EOE, including disability/vets.

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. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC): The base salary range for this position is $81,000-$121,000 annually.

Zone B: The base salary range for this position is $77,000-$115,000 annually.

Zone C: The base salary range for this position is $69,000-$103,000 annually.

If you believe this job description is missing required pay transparency information, please submit a report through this form: Job Description Pay Range Disclosure.

Read the original posting

From Snapchat's careers page, first listed on Rolev.ai on November 9, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the 2027 Generative Media Research Intern role at Snapchat?

The 2027 Generative Media Research Intern posting at Snapchat states compensation of $69,000 – $121,000 per year. Final pay may depend on location, experience, and interview evaluation on Snapchat's official career site.

Where is the 2027 Generative Media Research Intern job at Snapchat located?

This 2027 Generative Media Research Intern position at Snapchat is located in Los Angeles, CA. Always check Snapchat's application page for specific state eligibility or relocation policies.

How do I apply for the 2027 Generative Media Research Intern position at Snapchat?

This listing links directly to Snapchat's Workday application page. You can apply directly on Snapchat's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.