Staff ML Software Engineer, Ads Modeling, Personalization, and Quality
Mountain View, CA, USA · Staff · Full-time · Posted Oct 23, 2026
- Experience
- 8 years in software development; 5 years with ML design and ML infrastructure; 5 years testing and launching software products; 3 years with software design and architecture; 5 years with ML/AI algorithms and tools, deep learning or other AI/ML modeling. Experience in the digital Ads ecosystem.
- Education
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
About the job
Design and improve machine-learning models that predict ad interactions and support ad quality, personalization, and advertiser performance across Google Ads.
What you'll do
- Design deep-learning models and engineer features from ad creatives, publisher content, and users’ personalized ad history.
- Improve model efficiency and reliability through model architectures and development and release processes.
- Troubleshoot advertiser performance and collaborate with product, UX, and partner teams on ad experiences and data-driven decisions.
What they ask for
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with ML design and ML infrastructure; 5 years testing and launching software products; and 3 years with software design and architecture.
- 5 years of experience with ML/AI algorithms and tools, deep learning or other AI/ML modeling; experience in the digital Ads ecosystem.
Nice to have
- 8 years of experience with data structures and algorithms.
- 3 years in a technical leadership role leading project teams and setting technical direction.
Pay
$207000 - $300000 (USD) base salary
Tools
machine learning, deep learning, ML infrastructure, model deployment, model evaluation, data processing, fine tuning, Gemini
AI focus
Build and improve deep-learning and other ML models to predict users’ interactions with ads, improve ad quality, and optimize campaigns.
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