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Software Engineer L5 – Ads Inventory Management & Forecasting – Engineering – Streaming
| Company | Netflix |
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| Location | California, USA |
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| Salary | $100000 – $720000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 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.
- Professional experience in building publisher inventory management solutions that supports monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split and yield management.
- 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 publisher side challenges like optimizing fill rates and maximizing revenue in the context of inventory management.
- Developed many cloud based applications and comfortable with modern programming languages (preferably object oriented).
- Familiar with A/B testing and experimentation.
- Experience in working with cross-functional teams to drive large and complex projects.
Responsibilities
- Build advertising systems and integrations that power the delivery of ads using Netflix’s content delivery ecosystem.
- Build state-of-art realtime inventory forecasting solution leveraging ML models and high performance ad server simulations.
- Build systems that enable publisher inventory management solutions, supporting various monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split and yield optimization.
Preferred Qualifications
- 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.
