Staff Machine Learning Engineer, Ads
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El puesto
Own end-to-end ML systems for ads, including data pipelines, feature engineering, candidate extraction, model training, and production integration.
Take end-to-end ownership of ML systems—from data to serving in production—with emphasis on reliability and scalability.
Apply state-of-the-art ML algorithms at scale for targeting, ranking, and bidding to drive top-line metrics.
Collaborate with ML platform and product engineers to build scalable, efficient production ML systems and well-designed APIs.
Partner with product and business teams to ideate and implement new ad targeting and bidding features that improve performance.
Drive value through ML across the Ads product, contributing to experimentation, deployment, and high-quality software practices.
Take end-to-end ownership of ML systems—from data to serving in production—with emphasis on reliability and scalability.
Apply state-of-the-art ML algorithms at scale for targeting, ranking, and bidding to drive top-line metrics.
Collaborate with ML platform and product engineers to build scalable, efficient production ML systems and well-designed APIs.
Partner with product and business teams to ideate and implement new ad targeting and bidding features that improve performance.
Drive value through ML across the Ads product, contributing to experimentation, deployment, and high-quality software practices.
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