Software Engineer III, AI/ML Recommendations, Rankings, Predictions, Google Ads
Mountain View, CA, USA · Full-time · Posted Oct 7, 2026
- Experience
- 2 years programming in Python or C++; 1 year building and deploying recommendation systems models in production; 1 year with end-to-end Machine Learning. Preferred: 2 years with data structures and algorithms.
- Education
- Bachelor’s degree or equivalent practical experience.
About the job
Build and deploy machine-learning recommendation systems for Google Ads, including model optimization and data processing.
What you'll do
- Write product or system development code and collaborate on design and code reviews.
- Build and deploy recommendation models, use ML infrastructure, and contribute to model optimization and data processing.
- Document, triage, debug, and resolve product or system issues.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience programming in Python or C++.
- 1 year of experience building and deploying recommendation systems models in production.
- 1 year of experience with end-to-end Machine Learning, such as model deployment, evaluation, data processing, or debugging.
Nice to have
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms; experience developing accessible technologies.
Pay
$147000 - $210000 (USD) (base salary); 15% bonus target (total pay component)
Tools
Python, C++, Machine Learning, ML infrastructure, Gemini
AI focus
Build and optimize recommendation systems models for retrieval, prediction, ranking, personalization, and search quality; the posting also describes Google Ads work using machine learning and Generative AI models like Gemini.
Model-written summary · the original posting is authoritative