Snap Research is offering internships for spring, summer, and fall of 2019. We are looking for PhD students who are excited about pushing the state of the art in computer science areas such as graphics, vision, human-computer interaction, machine learning, natural language processing, deep learning, data science and more -- in ways that could be of interest to Snap Inc. as well as to the research community at large. We have just started recruiting, and we would love to hear from you!

You will collaborate with one or more researchers, with access to world-class product groups and design teams. We explore opportunities for technology transfer 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 compensate interns well and provide access to large computational resources. We strive to create an environment that is both productive and fun.

Our team currently includes the following areas and researchers:

Computational Imaging --- New York City and Seattle:

Shree Nayar <snayar>: Computational Imaging, Computer Vision, Computer Graphics

Austin Reiter <areiter>: Computational Imaging, Action Recognition, 3D Reconstruction

Guru Krishnan <guru>: Computational Imaging, Computer Vision, Acoustic Signal Processing

Jian Wang <jwang4>: Computational Imaging, Computational Photography, 3D Reconstruction

Karl Bayer <kbayer>: Robotics, Human-Computer Interfaces, 3D Modeling, Rapid Prototyping

Computer Vision and Deep Learning --- Santa Monica and San Francisco:

Ning Xu <ning.xu>: Deep learning, Image/Video Processing, Computer Vision, Audio/Speech

Sergey Tulyakov <stulyakov>: generative modeling, facial analysis

Yuncheng Li <yuncheng.li>: object detection, pose estimation

Ziyu Zhang <zzhang3>: vision and language, generative modeling, instance segmentation

Will Brendel <william.brendel>: unsupervised deep learning, quadratic optimization, Computer Vision

Qieyun Dai <qdai>: object detection, semantic segmentation

Ian Enxu Yan <eyan2>: accelerating deep learning, inference, and search.

Computer Graphics --- Santa Monica and San Francisco:

Linjie Luo <linjie.luo>: 3D reconstruction and understanding, augmented and virtual reality

Chen Cao <chen.cao>: 3D face modeling and tracking, facial image & video manipulation

Chongyang Ma <cma>: deep generative models, 3D reconstruction, video synthesis

David Salesin <salesin>: digital photography & video, non-photorealistic rendering (NPR), visualization

Menglei Chai <mchai>: image-based reconstruction, image & video editing, 3D portrait modeling

Yingying Wang <ywang>: deep learning for motion synthesis, motion style transfer, 2D cartoon animation

Zehao Xue <zehao.xue>: character animation(face,body), character rigging, AR&VR, mocap, 3D printing

Olly Woodford <oliver.woodford>: SLAM, 3D reconstruction, camera/object tracking, AR

Human-Computer Interaction (HCI) --- Santa Monica and Seattle:

Andrés Monroy-Hernández <amh>: social computing systems (lately using wearables and AR)

Rajan Vaish <rvaish>: crowdsourcing, AR and Mixed Reality, mobile and social computing

Maarten Bos <maarten>: behavioral science

Brian Smith <bsmith>: interaction design, interaction techniques, game design, AR, input methods

Ian Wehrman <iwehrman>: user-experience design; web development

Joel Brandt <jbrandt>: creative design tools

Maria Pavlovskaia <maria>: rapid prototyping and new app development across all research products

Natural Language Processing (NLP) --- Santa Monica:

Luis Marujo <luis>: Text Understanding, Multi-Modal Retrieval, Deep Learning for NLP

Leo Neves <lneves>: Document Representation, Entity Linking, Multimodal learning, Bias mitigation

Pradeep Karuturi <pradeep>: sentiment/emotion analysis, content quality/sensitivity, NLP engineering

Data Science and Data Mining --- Santa Monica:

Neil Shah <nshah>: misbehavior detection, content moderation, user behavior modeling, network analysis

Colin Eles <celes>: software engineering, infrastructure development, inference and training pipelines

To apply, please send an email to research-internships@snap.com with your CV, a list of your research interests, and any specific researchers you would like to work with. Also feel free to contact researchers directly at their email address: <researcher-alias>@snap.com. Internships will be granted on a rolling basis, so apply as soon as possible.