Improve the accuracy and stability of the UAC bidder with statistical analysis and new ML/optimization algorithms. Improve/modernize bidding infrastructure and design and implement bidding algorithms for faster cold start for new campaigns. Debug inaccuracies in bidding infrastructure and suggest improvements and launch with design, implementation, experimentation and analysis. Incorporate and engineer input features from ad creatives, publisher pages/content, as well as users’ personalized ad history to improve bidding and modeling accuracy.
Improve the efficiency and reliability of ML models by designing novel model architectures and adopting robust development and release processes. Debug and troubleshoot complex interactions between business goals, mathematical models, and infrastructure. Work with PM, UX, and partners teams to design and deliver new ad experiences. Leverage data and metrics to help evaluate product success and drive business decisions.
Job description provided by Google.
View the original posting
