Principal Computer Vision Researcher

Principal Computer Vision Researcher

Washington, DC

  • Requisition #: 174668
  • Job Type: Full Time
  • Location: Washington, DC
  • Team: Technology
  • Pub Date: 4/9/18

Description
Are you interested in solving computer vision problems that involve massive video data sets from millions of cameras, hundreds of thousands of on-demand videos or thousand channels of live TV? Do you have experience in building large-scale computer vision and machine learning system? Do you want to conduct industry-leading research in content analysis technologies and real-time and cloud computer vision algorithms to create smart digital homes and help millions of households discover and interact with video and music content on their TV, PC, Phone, and Mobile devices?

If yes, come join the Comcast Applied AI group. We are an innovative research group within Comcast's Technology & Product organization with offices in Washington, DC, Silicon Valley, Philadelphia, Denver and Chicago that does groundbreaking research to support the development of novel Deep Learning and Machine learning based products for Comcast's 22+ Million consumers.

We are currently looking to hire a principal researcher with experience in conducting cutting-edge research in AI and Machine Learning applied to the Computer Vision and/or Media Analytics domains. The ideal candidate will have experience working as a technical lead in an industry, government, or academic lab setting on artificial intelligence and machine learning projects.

The positions can be located in any of our locations, though Washington, DC is 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.

Desired Qualifications
- Master's degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience; Ph.D. preferred.
- Experience with machine learning, deep learning, and computer vision technologies and how to adapt and customize the underlying algorithms for your needs.
- Strong programming and software development skills, and familiarity with C++, Python, and deep learning frameworks (Keras, TensorFlow, PyTorch, MxNet, ) and cloud machine learning apis.

Core Responsibilities
- Develops algorithmic solution and technical requirements of custom designs for future products and applications.
- Leads research in one or more of the following areas: Deep Learning, Computer Vision, and NLP.
- 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.

Years of Experience
Generally, requires 10-15 years related experience after Bachelors, 8-11 years after Master's, or 5-8 years after Ph. D.

For more information about our group please go to: http://dclabs.comcast.com/research

Comcast is an EOE/Veterans/Disabled/LGBT employer

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

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