Software Engineer 5 - Forecasting & Simulation

About This Role

This role involves developing and maintaining end-to-end inventory forecasting, underwriting, and simulation systems for Netflix's ad-supported tier. This individual will build highly efficient and scalable distributed systems to handle large ad data and intense computation, while also productionizing ML models with a science team.

Responsibilities

• Develop and maintain E2E inventory forecasting, underwriting, and simulation systems
• Build distributed systems that are highly efficient and scalable to handle large and growing ads data and intense computation
• Collaborate with the science team to productionize ML models and optimization algorithms

Requirements

• Professional experience in building sophisticated ads forecasting systems involving ML models and high performance ad server simulation
• Proven experience in handling data at extremely large volumes with big data tools like Spark
• Experience building high-throughput, low-latency distributed systems that utilize 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

Nice to Have

• Good understanding of Lucene index and 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 the changing landscape of ad regulations around the world
• Experience working in the CTV space and knowledge of its unique constraints

Skills

* Required skills

Benefits