Drimva

Google

Staff Software Engineer, Search Ads Syndication Quality AI/ML

Mountain View, CA, USA +1 · Staff · Full-time · Posted Oct 30, 2026

Location
Mountain View, CA, USA
Pittsburgh, PA, USA
Experience
8 years in software development; 5 years testing and launching software products; 3 years in software design and architecture; 5 years in an ML specialization; 5 years leading ML design and end-to-end ML optimization. Preferred: 8 years with data structures and algorithms; 3 years in technical leadership; 3 years in complex, matrixed organizations.
Education
Bachelor’s degree or equivalent practical experience.

About the job

Leads engineering work on machine-learning and large-language-model innovations, scalable serving infrastructure, and advertising quality systems.

What you'll do

  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Lead ML solution design and implementation, infrastructure optimization, and model optimization and data-processing strategies.
  • Provide technical leadership, coordinate project priorities and timelines, and align and coach distributed teams.

What they ask for

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development; 5 years testing and launching software products; and 3 years in software design and architecture.
  • 5 years of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization, and 5 years leading ML design and optimizing end-to-end machine learning.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms; 3 years in technical leadership and 3 years in complex, matrixed organizations involving cross-functional or cross-business projects.

Pay

$207000 - $300000 (USD) base salary

Tools

ML, LLM, Gemini

AI focus

Develop ML/LLM modeling innovations and scalable serving infrastructure; lead ML design, model optimization, data processing, and generative AI integration.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)