Tag Archives: machine learning

Comcast Labs DC is looking for 4-5 Graduate Student Summer Interns

Are you interested in Large-scale Machine Learning? Multimedia Video Processing? Working with truly Big Data? Do you currently do research in at least one or more of the following areas – Large-scale Machine Learning, Recommendation Systems, Social Media, Computer Vision, Information Retrieval or NLP? Do you want to conduct industry-leading research in content discovery technologies and multimedia information processing, and help millions of households discover video and music content on their TV, PC, Phone, and Mobile devices?

Comcast Labs in Washington DC is currently looking to fill 4-5 graduate student intern positions for this summer (minimum of 12 weeks, May through September). Projects can focus on using Statistical Modeling of TV Viewing Behaviors, Personalized Recommendations for TV, and Search, Annotation, and/or Segmentation of premium video.

We are 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 22 Million subscribers.

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 ideal applicant will be currently enrolled in a university PhD program and has 2+ years of research experience in one of the relevant areas. Applicants should also have good programming and software development skills, and be comfortable working in an interdisciplinary, team-oriented, applied research environment.

Internships will be on-site in our Washington, DC office. We feature an informal, open atmosphere, and a location in downtown Washington convenient to several public transit lines and many of the city’s museums, monuments, and other attractions. The salary is competitive and commensurate with experience.

To apply, please send a CV or resume, along with a brief statement explaining why you are interested in the position, to Jan_Neumann(at)cable.comcast.com. While there is no fixed deadline for applying, we anticipate filling these positions by the end of February.