Job Description

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.

At Snap Research, 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 December 2025
  
• 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
  

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.
  

#LI-DNI

Job Tags

Live in, Work at office,

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