FreeWheel, A Comcast Company, comprised of FreeWheel Publishers, FreeWheel Markets, and FreeWheel Advertisers empowers all segments of The New TV Ecosystem. We are structured to provide the full breadth of solutions the advertising industry needs to achieve their goals. We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels, in order to ensure the ultimate goal results for marketers. With offices in New York, San Francisco, Chicago, London, Paris, Beijing, and across the globe, FreeWheel, A Comcast Company, stands to advocate for the entire industry through the FreeWheel Council for Premium Video.
ABOUT THE OPPORTUNITY:
FreeWheel is hiring a New York based Algorithm and Machine Learning Engineer reporting to the Principal Software Engineer.
FreeWheel helps the television industry generate revenue from their premium content through a robust technology platform, which enables consumers to watch entertainment on any devices from PC, mobile, set-top box to traditional TV.
FreeWheel's New York Engineering Team is part of a global engineering group that is building advanced and high quality applications, servers and tools to manage million dollar orders, handle billions of daily requests, and process terabytes of raw daily data.
Design, develop and test optimization solutions for advertising applications
Design, develop and test machine learning algorithms for predictive services
Research and prototype new optimization and machine learning solutions for new ad scheduling and forecasting initiatives
Evaluate, visualize and compare different machine learning and optimization algorithms
Bachelor's or Master's Degree in Computer Science, Statistics, Applied Mathematics or similar fields of study
3-5 years of relevant working experience
Good with SQL and database general concepts
Comfortable with Linux commands and environments
Proficient with Python and/or Golang.
Familiar with software development life cycle and able to produce product quality code and test cases.
Hands-on experiences with machine learning and optimization algorithms is strongly preferred.
Experiences with software engineering tooling such as Git, Jenkins, Docker are strongly preferred.
Known for being a smart, analytical thinker who approaches their work with logic and enthusiasm.
Detail oriented, flexible and can work well in a global team-oriented environment.
Comcast is an EOE/Veterans/Disabled/LGBT employer