Generative Media Research Intern

Snap Inc.

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Los Angeles, CA
Salary
$81,000–$121,000 / yr
Employment
Intern
Posted
12 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k
This role $101k
$60k $276k
below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $114,400–$243,600 — the blue band above. At the midpoint, this role pays about $101k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 103 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 93 roles with salary data.

Most-posted roles

View all roles at Snap Inc.

At a glance

TL;DR · Generative Media Research Intern

The 2027 Generative Media Research Intern joins the research team to develop state of the art technology that impacts products. Working alongside world class researchers and engineers, the intern will focus on pushing the state of the art in large generative models, GenAI efficiency, personalization, 3D and 4D generation and understanding, visual-language models, large scale data, and inference frameworks. The role involves conducting academic research, solving tough technical challenges, and working toward publishing or patenting research findings. Candidates should possess experience with large scale training, tuning, and model post-training. The work addresses technical problems in generative media and large scale inference. This position requires a graduate student in a technical field like Computer Science with a strong academic record and publication history in venues like CVPR or NeurIPS.

What you'll do

  • Develop state-of-the-art technology to impact Snap's products.
  • Work toward publishing research in leading journals and conferences.
  • File patents for original research and technological innovations.
  • Conduct research on large generative models and GenAI efficiency.
  • Explore 3D and 4D generation, understanding, and visual-language models.
  • Manage large-scale data, training, tuning, and inference frameworks.
  • Apply technical concepts to solve real-world problems.

What we're looking for

  • Enrolled in a graduate program in a technical field like Computer Science, graduating no sooner than May 2027.
  • PhD enrollment is preferred.
  • Experience conducting academic research and applying technical concepts to real-world problems.
  • Strong academic performance in technical coursework.
  • Ability to work in-office for a 13-16 week internship in 2027.
  • Strong problem-solving skills and the ability to solve tough technical challenges.
  • Strong publication records in top venues like CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, and SIGGRAPH (preferred).
  • Previous experience with large generative models, including training, tuning, data, inference, and efficiency (preferred).

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