Senior Computer Vision Research Scientist/Engineer

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 Computer Vision based products for Comcast’s 22+ Million consumers.

We are currently looking to hire a senior research scientist/engineer with experience in conducting cutting-edge research in AI and Machine Learning applied to the smart home domains.

The position will be in Washington, DC. 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:

– Bachelor’s or Master’s degree in computer science, computer engineering, electrical engineering, mathematics, related technical discipline, or related industry experience; Ph.D. preferred.

– Strong publications on computer vision and deep learning, including but not limited to video analytics, object detection/recognition, and event/activity recognition.

– Strong programming and software development skills in C/C++ and familiarity with Computer Vision OR expert in Computer Vision,

and familiarity with C/C++, Python, deep learning frameworks (Keras, Tensor Flow, PyTorch, Caffe), and edge or cloud based computing.

Core Responsibilities:

– Develops new algorithmic solution and technical requirements of custom designs for future products and applications.

– Conducts research in one or more of the following areas: Deep Learning, Computer Vision, and Video Analytics.

– 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, 3-5 years after Bachelor’s or Master’s, or 0-3 years after Ph.D.

 

To apply for this position please click here!

Lead Computer Vision Researcher

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 Computer Vision based products for Comcast’s 30+ Million consumers.

We are currently looking to hire a lead 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 position will be in Washington, DC. 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.

Comcast brings together the best in media and technology. We drive innovation to create the world’s best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

 

Core Responsibilities:

– Developing new algorithmic solution and technical requirements of custom designs for future products and applications.
– Leading research in one or more of the following areas: Deep Learning, Computer Vision, and Video Analytics.
– Working 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.
– Working with various team members both within and outside Research. Ensuring timely progress of work. Conducting research in an incremental manner thereby enabling faster integration of technology into products. Evaluating prototype systems, write technical papers, and helping with technology transfer.
– Keeping track of developments in field both in academia and in industry. Attending relevant conferences and publishing research results is encouraged.

Qualifications:

– Master’s degree in computer science, computer engineering, electrical engineering, mathematics, related technical discipline, or related industry experience; PhD preferred.

– 10 to 15 years related experience after Bachelor’s degree

– 8 to 11 years related experience after Master’s degree

– 5-8 years related experience after PhD

Desired:

– Strong publications on computer vision and deep learning, including but not limited to video analytics, object detection/recognition, and event/activity recognition. Candidates with top conference publications are preferred (e. g., ICCV/CVPR/ECCV/NIPS/ICML/ICLR)

– Strong programming and software development skills, and familiarity with C/C++, Python, deep learning frameworks (Keras, TensorFlow, PyTorch, Caffe), and edge or cloud based computing.

To apply for this position please click here!

Comcast is an EOE/Veterans/Disabled/LGBT employer

Lead Engineer – AI/Machine Learning Platform

We are looking for a lead engineer who will be responsible for designing and building specific components of the Xfinity Voice Assistant Platform that is used by millions of customers every day. We use advanced machine learning and cloud technologies to process the billions of natural language queries we receive every year and to make a user’s input actionable. You would be part of our rapidly growing Applied AI research and engineering team that owns the full stack and operationalization of our voice product offerings, as well as advanced analytics and ML pipeline work.

You will work with other engineers and researchers with backgrounds in advanced fields such as natural language processing and machine learning (including deep learning).  As a key member and technology leader of the team, you will help define, refine, and test state of the art algorithms, and scale the associated systems for high performance, stability, and availability in the cloud.

Comcast’s Technology, Product & Experience organization encourages career development with regular opportunities for training and programs for innovative cross-team projects such as week-long Hackathon and job rotation programs over the summer.

Comcast brings together the best in media and technology. We drive innovation to create the world’s best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

 

           Core Responsibilities:

  • Providing technical leadership for platform design and implementation
  • Building the data pipelines and scale the algorithms that fuel the intelligence of the voice platform
  • Developing a platform that applies continuous delivery principles to the deployment of machine learning models
  • Using data and metrics to inform your decision making.
  • Building proof-of-concept applications or conducting exploratory experiments for the platform.
  • Collaborating with your quality assurance and technical operations peers as one team.
  • Resisting the accrual of “technical debt” in our systems.
  • Mentoring more junior members of the technical staff, performing code reviews, and leading the team to be effective and agile.
  • Working in a self-driven environment where engineers own their products end to end.
  • Staying educated on technical developments and tools necessary for the design and maintenance of complex, distributed platforms. 

    Qualifications:

  • BS in Computer Science, Computer Engineering or related technical field.  Advanced degree preferred.
  • Generally requires 7-11 years related experience
  • 4+ years of server-side or cloud development experience
  • Proficient with two or more general purpose programming languages – Java, Scala, Go, or Python
  • Experience developing service oriented architectures and an understanding of design for scalability, performance and reliability
  • Experience deploying and maintaining production services in AWS
  • Experience with continuous integration, test-driven-development, automated unit and integration testing
  • Hands-on experience with distributed processing technologies (e.g. Apache Spark, Kafka, Hadoop)
  • Experience with Spring boot and Docker a plus

 

To apply please click here!

 

Comcast is an EOE/Veterans/Disabled/LGBT employer

 

Research Internship Positions

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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 applied-ai-internships@comcast.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/