Research Scientist 5, Marketplace - Ads DSE
Core
Design and implement machine learning and optimization algorithms to build a healthy, competitive, and innovative ad marketplace that balances Netflix revenue, member experience, and advertiser outcomes.
Role type
Senior IC machine learning engineer (ad optimization)
Builds
Ad auction design, dynamic pricing, member ad experience, and inventory/yield optimization systems
Domain
Streaming media advertising technology
Deliverable
production ML models
Required skills
Machine learning, optimization algorithms, data analysis, Python, Scala, Java, large-scale data deployment, ad optimization stack (targeting, ranking, bidding)
Preferred skills
Business acumen, translating technical results to business impact
Technologies
Python, Scala, Java
Responsibilities
Design and implement ML/optimization algorithms for ad quality and performance; Build, train, and evaluate models on large-scale production data; Develop online and offline evaluation frameworks; Partner with product teams to define optimization objectives and trade-offs; Communicate technical decisions and experiment results to stakeholders
Seniority
Senior, hands-on IC
