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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal><span style='color:#1F497D'>FYI<o:p></o:p></span></p><p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p><div><div style='border:none;border-top:solid #E1E1E1 1.0pt;padding:3.0pt 0in 0in 0in'><p class=MsoNormal><b>From:</b> David Salesin [mailto:salesin@snap.com] <br><b>Sent:</b> Friday, December 1, 2017 4:47 AM<br><b>To:</b> David Salesin <salesin@snap.com><br><b>Subject:</b> Snap Research: Call for Interns (please pass on)<o:p></o:p></p></div></div><p class=MsoNormal><o:p> </o:p></p><p style='margin:0in;margin-bottom:.0001pt'><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Snap Research is offering internships for spring, summer, and fall of 2018. 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!</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Times New Roman",serif'> </span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>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.</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Times New Roman",serif'> </span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Our team currently includes the following areas and researchers: </span><o:p></o:p></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Times New Roman",serif'> </span><o:p></o:p></p><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Computer Graphics --- Venice, CA: </span></b><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Linjie Luo <linjie.luo>: 3D reconstruction and understanding, augmented and virtual reality</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Chen Cao <chen.cao>: 3D face modeling and tracking, facial image & video manipulation</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Chongyang Ma <cma>: visual content creation, image & video processing, human digitization</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>David Salesin <salesin>: digital photography & video, non-photorealistic rendering (NPR), visualization</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Hemanth Korrapati <hkorrapati>: deep learning applied to SLAM and scene understanding</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Menglei Chai <mchai>: image-based reconstruction, image & video editing, 3D portrait modeling</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Rahul Sheth <rahul>: 2D & 3D rendering, animation, simulation, character animation and locomotion</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Wenlong Lu <wlu>: physical simulation (face/cloth/fluid), animation, 3D reconstruction </span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Yingying Wang <ywang>:character animation, motion capture, editing, synthesis and perception</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Zehao Xue <zehao.xue>: character animation(face,body), character rigging, AR&VR, mocap, 3D printing</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Times New Roman",serif'> </span><o:p></o:p></p><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Computer Vision and Deep Learning --- Venice, CA and New York City: </span></b><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Jianchao Yang <jianchao>: visual understanding, deep learning, image/video processing</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Ning Xu <ning.xu>: deep learning, Image/Video Processing, computer vision, audio/speech</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Harsh Agrawal <harsh.agrawal>: low-shot object recognition, vision & language (VQA, Text2Scene etc)</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Kun Duan <kun.duan>: object recognition, image processing, image synthesis, ML for 3D vision</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Linjie Yang <linjie.yang>: semantic segmentation, video segmentation, vision and language</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Ning Zhang <ning.zhang>: large-scale object recognition, efficient deep learning, model compression</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Phoenix Huang <phoenix>: computer vision for brand analysis and product recognition</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Sergey Tulyakov <stulyakov>: generative modeling, facial analysis</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Yuncheng Li <<a href="http://yuncheng.li">yuncheng.li</a>>: object detection, object tracking</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Zhou Ren <zhou.ren>: vision and language, image & video understanding, reinforcement learning</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Ziyu Zhang <zzhang3>: vision and language, generative modeling, instance segmentation</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Will Brendel <william.brendel>: unsupervised deep learning, quadratic optimization</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Qieyun Dai <qdai>: object detection, semantic segmentation</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Austin Reiter: computational imaging, action recognition, 3D reconstruction</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Times New Roman",serif'> </span><o:p></o:p></p><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Data Science and Data Mining --- Venice, CA: </span></b><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Xiaolin Shi <xiaolin>: data science, experimentation, causal inference, computational social science</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Yanen Li <<a href="http://yanen.li">yanen.li</a>>: recommendation, ranking, data mining, deep learning for recommendation</span><o:p></o:p></p><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'> </span></b><o:p></o:p></p><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Human-Computer Interaction (HCI) --- Venice, CA and Seattle, WA: </span></b><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Andrés Monroy-Hernández <amh>: social and creative computing, crowdsourcing, product design</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Rajan Vaish <rvaish>: crowdsourcing, online collaboration, mobile and social computing</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Ian Wehrman <iwehrman>: user-experience design; web development</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Joel Brandt <jbrandt>: creative design tools</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Maria Pavlovskaia <maria>: rapid prototyping and new app development across all research products </span><o:p></o:p></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Times New Roman",serif'> </span><o:p></o:p></p><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Natural Language Processing (NLP) --- Venice, CA: </span></b><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Luís Marujo <luis>: text understanding, multi-modal retrieval, deep learning for NLP </span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Leo Neves <lneves>: document representation, entity linking, multimodal learning, recommendation </span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>Pradeep Karuturi <pradeep>: sentiment/emotion analysis, content quality/sensitivity, NLP engineering</span><o:p></o:p></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Times New Roman",serif'> </span><o:p></o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:black'>To apply, please send an email to <a href="mailto:research-internships@snap.com">research-internships@snap.com</a> 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>@<a href="http://snap.com">snap.com</a>. Internships will be granted on a rolling basis, so apply as soon as possible</span><o:p></o:p></p></div></body></html>