Software Engineer 5 - Ads Forecasting and Simulation

Professional experience in building sophisticated ads forecasting systems which involves ML models and high performance ad server simulation that accounts for constraints like frequency capping, targeting, publisher policy, and other business parameters. Proven experience in handling data at extremely large volumes with big data tools like Spark, and building high throughput low latency distributed systems that utilized the big data. General understanding of the advertising marketplace and landscape, with a focus on ad serving flow. Developed many cloud based applications and comfortable with modern programming languages (preferably object oriented). Experience in working with cross-functional teams to drive large and complex projects. Good understanding of Lucene index and had experience building and querying Lucene index with large volume of data. Experience in productionizing ML models and deploying models at scale. Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc. Familiarity with legal compliance and changing landscape of ads regulations around the world. Experience working in the CTV space and knowledge of its unique constraints