Machine Learning Scientist 5 - Ads Forecasting
Core
Building predictive ML models to forecast ad inventory supply and campaign delivery outcomes (reach, frequency, contention) for Netflix's ad-supported tier.
Role type
Senior IC machine learning scientist (ads forecasting)
Builds
Predictive models for ad campaign delivery and media planning
Domain
Streaming media / Ad-tech
Deliverable
production ML models
Required skills
supervised learning, feature engineering, explainable AI, Python, SQL, ad-serving concepts, offline/online evaluation
Preferred skills
experience at DSP/SSP/publisher ad platforms, Metaflow, GenAI
Technologies
Python, SQL, gradient-boosted trees, regression
Responsibilities
Build and iterate supervised ML models to replace simulation engines; model demand-side outcomes with supply-side signals; design evaluation frameworks; own feature engineering and feature store contributions; ensure model explainability for stakeholders; partner with ML engineers for deployment and monitoring; collaborate cross-functionally on objectives and adoption.
Seniority
Senior, hands-on IC
