Would you like to have a chance to deploy cutting edge machine learning algorithms in practice? Do you want to get your hands on the largest and most interesting datasets out there? Do you have valuable applied experience working with machine learning in the cloud? If so, you should consider our internship program.
Candidates must be US-based PhD or master students in one of the following areas: machine learning, statistics, AI, systems, high performance computing, distributed algorithms, or math. We are especially interested in those who have used GraphLab/GraphChi for a research project or have contributed to the GraphLab community.
All interested applicants should send their resume to internships@graphlab.com. If you are a company interested having a GraphLab intern, please feel free to get in touch.
Here is a (very preliminary) list of open positions:
GraphLab is a graph-based, high performance, open source distributed computation framework written in C++. While GraphLab was originally developed for Machine Learning tasks, it has found great success at a broad range of other data-mining tasks; out-performing other abstractions by orders of magnitude. Our latest beta is a cloud based ipython interface to GraphLab. GraphLab office is located in UW campus in Seattle.
Rocket Fuel is a digital-advertising technology company in Silicon Valley that has grown rocket-fast since its founding in 2008. It is the leading provider of artificial intelligence online-advertising solutions. It combines a world-class engineering team with the industry's most productive sales and delivery teams. Its customers are some of the world’s most successful brands. Rocket Fuel serves them from its offices in 19 cities around the globe. Engineering is located in Redwood City (Bay Area), CA
Technicolor is an industry leader in the production of video content for movies, TV, advertising, games and more. The Palo Alto research lab offers internship positions in the fields of machine learning, optimization, networking, and systems, focusing on high quality academic publications. We encourage applications from highly motivated Ph.D. candidates in Computer Science, Electrical and Computer Engineering, Statistics and Applied Math, with a strong background in one of the above fields. Technicolor Labs are located downtown Palo Alto.
CloudCV is a large-scale distributed computer vision algorithm package, running on the cloud. CloudCV is a project developed at the Machine Learning and Perception Lab, Virginia Tech, led by Prof. Dhruv Batra. CloudCV uses GraphLab for implementing distributed computer vision algorithms. Some of the functionality is derived from using OpenCV with Graphlab SDK.
Tagged makes social discovery products that enable anyone to meet and socialize with new people. Our mission is to help everyone feel love and belonging, and we're building toward a vision where anyone can use a device to instantly connect with interesting new people anytime, anywhere. Founded in 2004 and profitable since 2008, Tagged is a market leader in social discovery with over 300 million registered members in 220 countries who make over 100 million new social connections every month.
Rackspace is the leading innovator in cloud computing and one of the
founders and largest contributors to OpenStack. Rackers have the
freedom to do great work and the challenge of using their skill and
ambition to drive the future of the Web. Rackspace Cloud provides
on-demand scalable website, application, and storage hosting. We
enable developers and business decision-makers to avoid the hassles
and costs of dedicated hardware while offering the infinite
scalability of the Cloud.
Rackspace has an inspiring culture which provides room for growth and
innovation. We have multiple public and internal facing tech events
each week. Rackspace is ranked on Forbes Fastest Growing Technology
Companies list and is on Fortune and Glassdoor's Top 100 Companies to
work for.
Learn more about us:
http://developer.rackspace.com/http://rackertalent.com/sanfrancisco/
http://www.rackspace.com/blog/
Zillow, Inc. operates the largest home-related marketplaces on mobile and the Web, with a complementary portfolio of brands and products that help people find vital information about homes, and connect with the best local professionals. In addition, Zillow operates an industry-leading economics and analytics bureau led by Zillow's Chief Economist Dr. Stan Humphries. Dr. Humphries and his team of economists and data analysts produce extensive housing data and research covering more than 350 markets at Zillow Real Estate Research.
Want to work on the science behind the largest scale music service in the US?Pandora's science team is building the next innovations in machine learning algorithms that help hundreds of millions of listeners discover music they love. We're looking for 3-4 interns (preferably 2nd or 3rd year Ph.D. Students) whose research interests are aligned with ML and are passionate about music. Potential topics include personalization, scalable algorithms, real time and effective recommendation measurement, user modeling, etc. Please apply here: http://www.pandora.com/careers/position?id=o06RXfwE, and indicate in your cover letter that you heard about the position from the GraphLab blog.
StumbleUpon is a user-curated web content discovery engine that recommends relevant, high quality pages and media to its users, based on their interests. More than 30 million people turn to StumbleUpon to be informed, entertained and surprised by content and information recommended just for them. In addition, more than 100,000 brands, publishers and other marketers have used StumbleUpon’s Paid Discovery platform to tell their stories and promote their products and services. StumbleUpon offices are located downtown San Francisco
Intel Labs is addressing the challenges of Big Data Analytics with disruptive technologies and is focused on delivering new software and hardware technologies that will transform datacenter operations and improve user experience. It is driving innovations to better handle data both big and small, from small-scale sensor networks that enable data gathering to large-scale cloud resources for deep analysis. And, it is developing knowledge discovery platforms to support emergent applications, from personalized recommendation systems to targeted drug therapies. We are interested in talking to MS and PhD candidates with excellent programming skills and coursework in machine learning, data mining, or parallel computing systems.
Comcast Labs Washington DC is an innovative research group within Comcast's Metadata Processing and Search Services unit that does groundbreaking research to develop the video and TV search & discovery technologies that support Comcast’s approximately 25 Million subscribers. Our projects focus on Machine Learning for Recommendations, Search and Click-through Prediction, NLP for Voice-based Interfaces, Video Annotation/Segmentation of premium video, and other Big Data problems. Comcast is the largest provider of TV and Broadband Services in North America, the largest provider of TV search and discovery applications in North America, & the 6th largest provider of search on the web.
The Social Computing Group at Adobe is working with data from Behance, a social network for creatives that joined Adobe in January 2013, developing an infrastructure that leverages this social graph to extract value for applications like talent search, recommendations and graph search. It is using Machine Learning and Graph Mining techniques to extract aggregate patterns and help users find work, interesting content and people. Behance is at the core of Adobe push to make the creative community more interconnected, organized and leverage each other's work to be more productive and successful."
Tapad Inc. is the undisputed leader in cross-platform marketing technology. The company’s groundbreaking technologies address the new and ever-evolving reality of media consumption on smartphones, tablets and home computers. Through Tapad, advertisers are now able to get a unified view of consumers across all screens. Tapad has built the most robust, real-time cross-platform audience buying technology available. Tapad is backed by major venture firms and “a hell of a list of entrepreneurs who created some of the most valuable online advertising companies of the last decade” (TechCrunch). Tapad is based in New York and has offices in Atlanta, Chicago, Dallas, Detroit, Los Angeles, Miami and San Francisco.
CBS Interactive, a division of CBS Corporation, is the premier online content network for information and entertainment. With more than 250 million people visiting its properties each month, it is a top 10 Web property globally and a top 5 Web property in the U.S. in terms of unique video viewers. Its portfolio of leading brands, which include CNET, CBS.com, CBSNews.com, CBSSports.com, GameSpot, TVGuide.com, TV.com and Last.fm, span popular categories like technology, entertainment, sports, news and gaming.
Rdio is the groundbreaking digital music service that is reinventing the way people discover, listen to, and share music. With on-demand access to over 20 million songs, Rdio connects people with music and makes it easy to search for and instantly play any song, album, artist, or playlist. Launched in August 2010, Rdio is headquartered in San Francisco and was founded by Janus Friis, the co-creator of Skype. Available in countries all over the world, Rdio is funded by Janus Friis through his investment entities, Atomico, and Skype.
Stay tuned - additional companies will be added soon.
ExxonMobil’s Corporate Strategic Research is currently offering graduate-level internships for summer of 2014 in the area of large scale machine learning within our Data Analytics and Optimization Section. During the three month internship, working closely with researchers in our team, the candidate will be expected to refine the problem definition, conduct fundamental research on algorithms and theory, demonstrate results on a prototype application andprepare material for publication. The mission of Corporate Strategic Research is unique within the ExxonMobil Corporation. We are tasked with creating science-based opportunity and competitive advantage for ExxonMobil by conducting high-risk, high-reward research aligned with the Corporation’s business objectives. The laboratory is located 50 miles from New York City in scenic western New Jersey. The
successful candidate will join a dynamic group of scientists performing breakthrough research for all sectors of the corporation, developing new approaches to solve our most challenging problems. ExxonMobil offers an excellent working environment and competitive compensation. Start and end dates are flexible, typically encompassing mid-May to late-August. Subsidized housing
is offered.
The Bosch Research and Technology Center, with labs in Palo Alto, CA, Pittsburgh, PA, and Cambridge, MA focuses on innovative research and development for the next generation of Bosch products. The data mining group creates new data mining and large-scale machine learning algorithms for high-performance, distributed and parallel computing environments. Our problems deal with sparse, high-dimensional heterogeneous data that have temporal correlations, missing values and asynchronous streams. Topics that we work on include time-series analysis, latent variable models, sparse and missing data problems, association rule mining, to name a few. Our models and methods are implemented in a distributed, parallelized architecture and run on our HPC cluster in order to scale up to Big data sets. Internships are expected to be at least 10-12 weeks long during the summer months. Previous internships in our group have led to successful publications and/or patents. More information can bout found at http://www.bosch.us/content/language1/html/9799.htm
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