Are you interested in large-scale machine learning and deep learning? Do you want to work with the billions of queries made with the most advanced voice remote for the TV or help us to reinvent customer service using machine learning? Create new entertainment experiences by analyzing huge multimedia content libraries and thousands of live TV channels? Build the foundation for the digital home by making sense of data from millions of smart cameras and IoT sensors?
If these difficult research problems excite you and you have experience in at least one or more of the following areas -Deep Learning, NLP, Speech Recognition/Audio Analytics, Computer Vision, Data Science, Recommendation Systems, and Reinforcement Learning, we’re looking for you!
Comcast Applied AI Research is filling multiple graduate student intern positions for this summer (desired length at least 12 weeks, May through September, but let’s talk if this does not fit your needs). We are an innovative research group within Comcast’s Technology & Product organization with offices in Washington DC, Sunnyvale CA, Philadelphia, Denver and Chicago that does groundbreaking research to support the development of novel Artificial Intelligence and Machine Learning based products for Comcast’s more than 30 Million consumers.
Potential projects will focus on (but are not limited to):
- Multi-domain natural language understanding and conversational dialogue
- Machine learning to automatically recognize certain audio events as well as speech
- Bandit algorithms/reinforcement learning to optimize decision-making in the customer service domain and parameter selection for machine learning applications
- Object and activity recognition for home security using cameras and other IoT sensors
- Deep learning for the annotation, segmentation and recognition of broadcast videos and ads
- Personalized recommendations and search for TV
The ideal applicant should currently be enrolled in a university PhD program (strong MSc students are also welcome to apply), with 2+ years research experience in one of the relevant areas and be able to obtain a work authorization in the US. Applicants should also have good programming and software development skills, and be comfortable working in an interdisciplinary, team-oriented, applied research environment. The expected output of an internship is a proof of concept implementation leading to a scientific publication and/or a patent application.
We offer internship opportunities in all of our locations, though Washington DC, Philadelphia, or Sunnyvale, CA are preferred. We feature an informal, open atmosphere, and cultivate a start-up culture with the backing of a Fortune 50 company. To better serve our community, we believe the diversity of our team should reflect the diversity of our customers.
To apply, please send a CV or resume, along with a brief statement explaining why you are interested in the position, to email@example.com.
We anticipate filling these positions as soon as possible on a rolling basis, but latest by the end of March 2019.
For more information about our team please go to: http://dclabs.comcast.com/research/