*Research and Engineering internships / 2016 spring, summer, and fall in Cambridge MA, Seattle, San Francisco, and San Jose *
Adobe Research is offering research and engineering internships this spring, summer, and fall in Cambridge MA, Seattle, San Francisco, and San Jose. We are looking for PhD students who are excited about pushing the state of the art in audio, graphics, vision, human-computer interaction, machine learning, visualization, analytics, optimization, and more — in ways that could be of interest to Adobe as well as to the research community at large. We have just started recruiting, and we would love to hear from you!
You will directly collaborate with one or more researchers or engineers, with access to world-class product groups and design teams. We regularly publish in leading journals and conferences, explore opportunities to invent new products, and create amazing features for our established creative tools — allowing you to see your work in the hands of millions. We are especially interested in fostering ongoing collaborations and are open to projects that last beyond the internship and become part of your PhD thesis. We compensate interns well, and strive to create an environment that is both productive and fun.
Our Cambridge lab is located in Kendall Square, neighboring the MIT campus and steps away from the Red Line “T” with easy access to Boston. The Seattle lab is located in the hip Fremont area, directly on the water (you can kayak to work!) and connected by a bike path to UW. The San Francisco lab is located in the trendy SOMA area, near the ballpark and a short walk from the Caltrain station. The San Jose labs are in the heart of Silicon Valley, with a diverse array of culture and a short walk from the Caltrain station.
Our team currently includes the following researchers and engineers (for more information, visit our web pages at research.adobe.com):
Cambridge
* Sylvain Paris : graphics, vision, photography, video
* Shoaib Kamil : programming languages, compilers, program synthesis, parallel computing
Seattle
* Xue Bai : engineering: image and video processing, computer vision
* Mira Dontcheva : HCI, graphics, visualization
* Dan Goldman : video, graphics, vision, human-computer interaction
* Danny Kaufman : graphics, computational design and fabrication, simulation
* Vladimir Kim : graphics, vision, geometry processing
* Wilmot Li : graphics, visualization, HCI
* Jovan Popović : graphics, games, simulation, control, optimization
* Eli Shechtman : vision, graphics, photography, recognition
* Kevin Wampler : engineering: numerical optimization, performance, computer animation
* Jue Wang : graphics, vision, photography, video
* Oliver Wang : image and video processing, computational videography
* Holger Winnemoeller : graphics, NPR, digital art tools, HCI
San Francisco
* Joel Brandt : HCI, software development tools, visual and interactive design tools
* Stephen DiVerdi : graphics, virtual reality, machine learning
* Aaron Hertzmann : graphics, vision, machine learning, design
* Matthew Hoffman : machine learning, audio
* Leo Zhicheng Liu : information visualization, visual analytics, HCI
* Gautham Mysore : audio, machine learning, signal processing
* Geoffrey Oxholm : engineering: image and video processing, computer vision, machine learning
* Bryan Russell : vision, recognition, machine learning
* Ian Sachs : engineering: mobile, image processing, computer vision
* David Salesin : graphics, photography, HCI, rendering, color
* Ian Wehrman : engineering: web
San Jose
* Paul Asente : vector graphics, illustration stylization, HCI
* Jon Brandt : visual search, recognition, machine learning, computer vision
* Hung H. Bui : probabilistic inference, machine learning, deep learning, activity recognition
* Trung Bui : reinforcement learning, machine learning, dialog systems
* Nathan Carr : geometry processing, rendering, high performance computing
* Duygu Ceylan : geometry processing, 3D fabrication
* Walter Chang : content understanding, semantic analysis, and data analytics
* Zhili Chen : real-time graphics, simulation, virtual reality, 3D printing
* Scott Cohen : computer vision, image segmentation, vision & language
* Chen Fang : recognition, recommendation, deep learning, computer vision, machine learning
* Sunil Hadap : structured light, photometric stereo, material and depth acquisition
* Mohammad Ghavamzadeh : machine learning, reinforcement learning, online learning, digital marketing
* Daichi Ito : artistic procedural modeling, designing tools for artists
* Tom Jacobs : Internet of Things, Data Science as a Service, Security, Fraud Detection
* Hailin Jin : deep learning, convolutional neural networks, vision, machine learning
* Wreeto Kar : econometrics, causal inference, recommendation, digital marketing
* Jaya Kawale : Machine Learning, Data Mining, Econometrics, Attribution Modeling
* Byungmoon Kim : rendering, simulation, high performance computing, geometry
* Eunyee Koh : user segmentation, predictive analytics, personalization, HCI, data mining
* Branislav Kveton : Online Learning, Machine Learning, Artificial Intelligence
* Joon-Young Lee : computer vision, image/video processing, computational photography
* Zhe Lin : computer vision, image processing, deep learning, machine learning
* Nedim Lipka : machine learning, data mining, information retrieval, big data analytics, visualization
* Jingwan Lu : graphics, designing tools for artists, data-driven design, image stylization, HCI
* Radomir Mech : interactive procedural modeling, casual modeling, 3D printing
* Gavin Miller : procedural modeling, rendering, simulation, light-field imaging
* Saayan Mitra : video delivery and monetization, media formats and standards, digital rights management
* Brian Price : semantic segmentation, interactive object selection, matting
* Stephen Schiller : vision, texture, image segmentation & simplification, machine learning, graphics
* Xiaohui Shen : depth estimation, recognition, visual search, scene understanding
* Xin Sun : 3D Photorealistic Rendering
* Kalyan Sunkavalli : image and video processing, computational photography, geometry and material capture
* Vishy Swaminathan : video delivery systems, rights management, network transports
* Georgios Theocharous : reinforcement learning, machine learning, information retrieval
* David Tompkins : cloud computing, distributed systems, data science as a service
* Nikos Vlassis : machine learning and optimization
* Zhaowen Wang : image recognition, image restoration, deep learning
* Gregg Wilensky : image correction, matting, creative effects
* Jimei Yang : object segmentation, image synthesis, generative models and deep learning
* Ersin Yumer : graphics, machine learning, data-driven geometry processing, HCI
To apply, please send an email to research-internships@adobe.com with your CV, a list of your research interests, and any specific researchers or engineers you would like to work with. Also feel free to contact specific members at their adobe.com address. Internships will be granted on a rolling basis, so apply as soon as possible.
