Research Scientist 6 - Ad Marketplace
$600,000–$1,066,000 year
RemoteUnited States
Job Summary
Design and implement machine learning and optimization algorithms to improve ad quality and performance on large-scale production data. Build, train, and evaluate models while developing online and offline frameworks to rigorously measure algorithmic impact. Partner with the product team to define optimization objectives and communicate technical trade-offs to stakeholders. Provide technical guidance to the team on ad auction design, dynamic pricing, and inventory yield strategies. This role supports Netflix's new ad-supported tier by building an in-house ad tech ecosystem that balances member experience with advertiser outcomes.
Required Qualifications
- Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field
- Proficiency in Python, Scala or Java
- Deep knowledge of machine learning, optimization, Auction design, pricing, and data analysis techniques
- Experience with prototyping and deploying algorithms using large-scale production data
- Strong business acumen and ability to translate technical results into business impact
- Experience in ad optimization stack, e.g. targeting, ranking, bidding
Desired Qualifications
- Excellent communication and collaboration skills
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