Machine Learning Researcher Positions at Comcast Labs Washington

Are you interested in building intelligent applications that impact millions of people on a daily basis? Do you have experience in at least one or more of the following areas ? Deep Learning, Recommendation Systems, Information Retrieval, Large-scale Machine Learning, or Data Science? Do you want to conduct industry-leading research to help millions of households discover and enjoy video and music content on their TV, PC, and Mobile devices and experience smart internet and home experiences?
Comcast Labs Washington DC is currently looking to expand their machine learning research group with senior and junior researchers that focus on using Deep Learning for Personalized Search and Recommendations, NLP, Video Analytics and other Machine Learning and Artificial Intelligence applications.
We are an innovative research group within Comcast's Technology & Product organization that does groundbreaking research to support the development of novel Deep Learning and Machine learning based products for Comcast’s 22+ Million consumers.
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, and leading provider of smart home solutions.
The ideal candidate will have experience working as a technical lead or researcher in an industrial, government, or academic lab setting on machine learning projects and applicants with a Ph.D. are preferred.
Applicants should have good programming and software development skills, and be comfortable working in an interdisciplinary, team-oriented, applied research environment. Familiarity with Python, Java or Scala, C++, Spark, Hadoop is preferred. Knowledge of deep learning frameworks such as TensorFlow, Caffe, Torch, Keras, or Theano is a plus.
The position will be located 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.
For more information about our group please go to: http://dclabs.comcast.com/research