Drimva

Google

Staff Software Engineer, AI/ML, ML Infrastructure, Search Ads

New York, NY, USA · Staff · Full-time · Posted Oct 20, 2026

Experience
8 years programming; 5 years leading ML design and optimizing end-to-end Machine Learning; 5 years testing and launching software products; 3 years in software design and architecture; 2 years with GenAI techniques or related concepts. Preferred: 8 years with data structures and algorithms; 3 years in technical leadership; 3 years in a complex, matrixed organization.
Education
Bachelor’s degree or equivalent practical experience; preferred Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

About the job

Build and improve machine-learning infrastructure and models for Google Ads, including training and serving systems, tooling, and reliability improvements.

What you'll do

  • Develop infrastructure, automation, workflows, and tooling to support new modeling techniques and products.
  • Analyze and improve system performance, robustness, reliability, and usability.
  • Collaborate with modeling and partner teams to integrate systems and investigate use cases.

What they ask for

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience programming in Python or C++.
  • 5 years of experience leading ML design and optimizing end-to-end Machine Learning; 5 years testing and launching software products; 3 years in software design and architecture.
  • 2 years of experience with GenAI techniques or related concepts.

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • Experience with data structures and algorithms, technical leadership, or cross-functional projects.

Pay

$207000 - $300000 USD base salary

Tools

Python, C++, Gemini

AI focus

Work on machine-learning infrastructure and modeling, including GenAI, training and serving systems, model deployment and evaluation, data processing, debugging, and fine-tuning.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)