Staff Machine Learning Engineer - Ads Economics
仕事内容
Lead the design and implementation of large-scale ML and optimization systems within Ads Economics, covering auction design, budget pacing, bidding optimization, and forecasting.
Partner with product, data science, and engineering to design robust experiments, modeling frameworks, and production ML pipelines that directly impact advertiser ROI and marketplace efficiency.
Provide technical mentorship and guidance to engineers and cross-functional partners—leading through influence and hands-on collaboration.
Build and deploy 0→1 ML systems that improve ad delivery outcomes and maintain marketplace health at scale.
Define and enforce best practices for model training, evaluation, deployment, monitoring, and governance.
Serve as a technical thought leader for Ads ML, helping shape the roadmap, experimentation design, and overall system evolution.
Partner with product, data science, and engineering to design robust experiments, modeling frameworks, and production ML pipelines that directly impact advertiser ROI and marketplace efficiency.
Provide technical mentorship and guidance to engineers and cross-functional partners—leading through influence and hands-on collaboration.
Build and deploy 0→1 ML systems that improve ad delivery outcomes and maintain marketplace health at scale.
Define and enforce best practices for model training, evaluation, deployment, monitoring, and governance.
Serve as a technical thought leader for Ads ML, helping shape the roadmap, experimentation design, and overall system evolution.
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