Learn the bidding ML models that drive billions in advertisement business across Google Advertisements.

Work on improving and simplifying models through advanced ML techniques.

Innovate and iterate on ML model design, improving quality, stability, and efficiency across the entire model lifecycle from concept to deployment.

Solve ML related problems by designing, running, and analyzing experiments using analytical and statistical methods.

Engage in the full ML model lifecycle, from design and training to deployment and serving models in production at the scale of billions of Search Advertisements. Train models on Tensor Processing Units, utilizing libraries such as Keras and Tensor Flow, with plans to migrate to Just-In-Time Compilation in the future.

Bachelor’s degree or equivalent practical experience.

8 years of experience programming in Python or C++.

5 years of experience managing ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

5 years of experience building and deploying recommendation systems models (e.g., retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.

5 years of experience testing, and launching software products.

3 years of experience with software design and architecture.