Software Engineer III, AI​/ML, Search Ads Bidding

Develop, train, deploy, and maintain large-scale machine learning models that predict user value and interactions to improve advertiser return on investment in Search Ads. Analyze experiments and improve model quality, stability, and efficiency while contributing to code health, automation, alerting, and collaboration with Research and Infrastructure teams.

Requirements: A bachelor's degree or equivalent practical experience is required, along with at least two years of software development experience in Python or C++ and two years applying mathematical or statistical methods to engineering or scientific problems. Candidates also need at least one year building and deploying recommendation models in production and one year of end-to-end machine learning experience; a master's degree or PhD and experience with production ML systems, Google Ads, or tools such as Tensor Flow, Keras, or TFX are preferred.

Key

Skills:

Python, C++, Machine Learning, Recommendation Systems, Model Deployment, Model Evaluation, Statistical Analysis, Mathematical Modeling, Numerical Analysis, Experiment Design, Tensor Flow, Keras, TFX, Search Ads Bidding, Low-Latency Coding, Return on Investment Optimization

Benefits: Equity, Benefits