AdTech Startups Boston

Think you can build the user experience that defines your category? Do you look at complex business interfaces and can’t help but think how you would make them easier to understand, more insightful, and be able to prove it with analytics? If this is you, we’d like to talk.

As entertainment options grow and evolve, TV networks and service providers face new challenges in understanding their audiences and subscribers. At TiVo, our Analytics team combines the power of big data and cloud processing in our predictive analytics solutions to help these businesses optimize campaigns by audience and make decisions based on actual consumer behavior. 

The Role Prototype and evaluate algorithms for the next generation of TVision's computer vision technology, these include, but are not limited to - accurate object detection and recognition, object tracking, modeling human attention, and pose and gaze detection Develop automated, cloud-based frameworks for training and benchmarking deep learning models Implement production ready code following the full development process, and collaborate closely with the engineering team throughout the implementation phase Evaluate new hardware for implementing computer vision algorithms Remain on top of ongoing CV research and bring in new ideas to TVision's computer vision approach

Our “panel” is the set of people who have our attention-monitoring equipment installed in their home, and the Panelist Success Specialist will ensure all panelists are provided with a friendly, consistent, and best-in-class experience as participants in the TVision Viewership Study. Working in conjunction with the rest of the Panel Ops team, this role will: manage compliance, conduct troubleshooting and effectively resolve support tickets and inquiries through multiple channels including email, incoming and outgoing telephone calls, and ticket platforms.

Efficient and reliable ingestion of data from our panelists’ in-home devices is the foundation of TVision’s products. As a key member of the development team, you will be responsible for designing and implementing solutions that analyze and process large data streams and populate our columnar analytics databases in AWS. We are strong believers in statically typed functional languages. We are using Haskell as our primary backend programming language. You will be building product components for transforming and reducing raw data at scale, performing statistical analysis to develop appropriate data reductions, writing efficient analysis queries, and recommending improvements to our ingestion pipeline and database design.