Staff AI/ML Engineer for Search Ads (AI-First)

Google; United States; On-site; USD 207,000 - 300,000; Full time

Job summary

Google's Mountain View office seeks a Staff Software Engineer in AI/ML for the Search Ads team. You will work on large-scale information retrieval and AI-powered ad experiences, leading cross-team initiatives and shaping product direction.

The role emphasizes deploying AI-first systems and scalable infrastructure, with opportunities to influence advertiser and user experiences across Google's advertising products.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience.
• 8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience with multimodal machine learning or LLMs, including building and launching products.
• Experience building, experimenting, and deploying AI-first systems and processes into production.

Responsibilities

• Optimize the Search results page (including organic results and ads) to co-evolve ads, leverage AI to maintain business generation, create ad experiences, help users find content faster, and enable growth opportunities for advertisers.
• Leverage AI/ML advancements, including Large Language Models (LLMs) and Agentic AI, to solve optimization problems across search ads, from product innovation to agentic automation.
• Deliver ad experiences in the world of AI.
• Design, build, and maintain self-service tools and platform features that embed AI/ML quality evaluation methods.
• Architect systems for deploying and serving AI/ML models specifically for data quality assessment tasks.

Tools

Java

C/C++

Python

ML design & infra

Multimodal ML/LLMs

AI-first systems

Job description

Google's Mountain View office seeks a Staff Software Engineer in AI/ML for the Search Ads team. You will work on large-scale information retrieval and AI-powered ad experiences, leading cross-team initiatives and shaping product direction.

The role emphasizes deploying AI-first systems and scalable infrastructure, with opportunities to influence advertiser and user experiences across Google's advertising products.