Drimva

Google

Staff Software Engineer, AI/ML, Search Ads

Mountain View, CA, USA +1 · Staff · Full-time · Posted Oct 5, 2026

Location
Mountain View, CA, USA
New York, NY, USA
Experience
8 years in software development and general-purpose programming languages; 5 years in ML design and infrastructure. Also requires experience with multimodal machine learning or LLMs and deploying AI-first systems into production.
Education
Bachelor’s degree or equivalent practical experience.

About the job

Leads development of AI-powered Search Ads systems and experiences, including model-serving infrastructure and tools for evaluating data quality.

What you'll do

  • Optimize Search results and ad experiences to help users find content and support advertiser growth.
  • Apply LLMs and Agentic AI to search-ad optimization, product innovation, and automation.
  • Build self-service AI/ML quality-evaluation tools and systems for deploying and serving models for data-quality assessment.

What they ask for

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of software development experience, including 8 years with a general-purpose programming language such as Java, C/C++, or Python.
  • 5 years of experience with ML design and infrastructure, such as model deployment, evaluation, data processing, debugging, or fine-tuning.
  • Experience with multimodal machine learning or LLMs, including launching products, and deploying AI-first systems and processes into production.

Nice to have

  • Applied AI/ML experience, including model development, fine-tuning, application, and evaluation.
  • Experience with Generative AI/LLMs for user-facing problems, full-stack systems, search/ads, or quality systems.

Pay

USD 207000 - 300000 base salary

Tools

Java, C/C++, Python, ML, Large Language Models (LLMs), Agentic AI, Gemini, Generative AI

AI focus

Uses AI/ML, LLMs, and Agentic AI for search-ad optimization, user-facing ad experiences, automation, and data-quality evaluation.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 5, 2026 (UTC)