AI/ML Search Ads Engineer III — Scale ROI

Google LLC; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC in Mountain View, CA, is hiring a Software Engineer III, AI/ML, Search Ads Bidding to drive ML-powered bidding systems at scale. You will work on full ML lifecycle, from design to deployment, shipping models that predict user value and optimize advertiser ROI.

The role emphasizes collaboration with Research and Infrastructure, exposure to TensorFlow/Keras/TFX, and the opportunity to impact billions of users while receiving equity and bonus.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in Python or C++.
• 2 years of experience applying mathematical modeling, numerical analysis, or statistical methods to engineering problems.
• 1 year of experience building and deploying recommendation systems models in production.
• 1 year of experience with end-to-end machine learning (model deployment, evaluation, optimization, data processing, debugging).

Responsibilities

• Develop and maintain machine learning models to predict user interactions and optimize advertiser ROI.
• Innovate on ML model design to improve quality, stability, and efficiency across the lifecycle.
• Analyze experiments using statistics to improve model generalization.
• Enhance model health by contributing to code health, automation, and alerting.
• Collaborate with Research and Infrastructure teams to test and implement latest technologies in production.

Skills

Python

C++

Mathematical modeling

Numerical analysis

Statistics

Recommendation systems

ML deployment

End-to-end ML

Education

Bachelor's degree

Tools

TensorFlow

Keras

TFX

Job description

Google LLC in Mountain View, CA, is hiring a Software Engineer III, AI/ML, Search Ads Bidding to drive ML-powered bidding systems at scale. You will work on full ML lifecycle, from design to deployment, shipping models that predict user value and optimize advertiser ROI.

The role emphasizes collaboration with Research and Infrastructure, exposure to TensorFlow/Keras/TFX, and the opportunity to impact billions of users while receiving equity and bonus.