Research Intern Computational Imaging
Share
Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 Companys 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 its AR glasses Spectacles.
We are looking for Research interns to join our Computational Imaging Research Team! The Computational Imaging team in NYC focuses on enhancing user experiences with our photo and short form video products and enabling our creators to make Lenses more easily in Lens Studio. Specifically our core focus in 2026 is on improving image and video quality (quality assessment video super resolution compression image editing) and animations (animation generation 3D avatar video generation for animations). Our research areas include computer vision computational imaging/photography 3d motion/video generation efficient VLMs and more.
What youll do:
Lead research in computer vision across low-level vision efficient VLMs and avatar/animation/video generation
Build research prototypes and evaluate them in real application scenarios
Publish your findings at top conferences
Knowledge Skills & Abilities:
Strong technical knowledge of state-of-the-art DL algorithms in one or more above sub-areas
Demonstrated ability in defining leading and executing challenging research projects
Strong computer science fundamentals problem-solving and engineering skills
Minimum Qualifications:
Track record of (co-)first-author publications in top venues e.g. CVPR NeurIPS Siggraph
Currently enrolled in a PhD (or MS) program in a technical field such as computer science computer engineering machine learning statistics mathematics
Strong foundation in computer vision 3D graphics and multimodal learning
Strong theoretical foundations of generative AI and practical experience training tuning and modifying generative models
Hands-on experience with state-of-the-art neural network techniques such as CNNs Transformers GANs diffusion models VAEs and/or other emerging techniques
Preferred Qualifications:
Hands-on experience in large scale dataset curation and distributed ML model training such as image/video/audio generation model pre-training or post-training
#LI-DNI
Required Experience:
Intern
Key Skills
- Robotics
- Machine Learning
- Python
- AI
- C/C++
- Data Collection
- Research Experience
- Signal Processing
- Natural Language Processing
- Computer Vision
- Deep Learning
- Tensorflow
About Company
We believe the camera presents the greatest opportunity to improve the way people live and communicate.
