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.
Core Responsibilities:- Develops algorithmic solution and technical requirements of custom designs for future products and applications.- Leads research projects in one or more of the following areas: Deep Learning, Recommendation Systems, Information Retrieval, and Large-scale Machine Learning.- Works with other Technical Leads, Product Managers and Business Partners to lead development of prototypes that demonstrate Research work, help with Product Discovery and integrate research output into engineering code base.- Works with various team members both within and outside Research. Ensures timely progress of work. Conducts Research in an incremental manner thereby enabling faster integration of technology into products. Able to evaluate prototype systems, write technical papers, and help with technology transfer.- Keeps track of developments in field both in academia and in industry. Attending relevant conferences and publishing research results is encouraged.Education Level: Master’s Degree or Equivalent; Ph.D. strongly preferred.
Field of Study: Computer Science, Data Science or Applied Math with experience in one or more of the following areas: Deep Learning, Recommendation Systems, Information Retrieval, Large Scale Machine Learning, Data Science, NLP, or Computer Vision.