Staff AI/ML Engineer - AI-Driven Search Ads

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target 20%

Benefits

Job summary

Google's software engineers work on next‑generation technologies that connect billions of users with information and extend beyond web search. We seek engineers who bring ideas across AI, information retrieval, distributed systems, NLP, UI and mobile to the full stack.

You will lead efforts across Ads and DeepMind, and leverage AI to build 10x better ads experiences. Individual pay is determined by job-related skills and education.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 8 years of experience with Java, C/C++ or Python.
• 5 years of experience with ML design and ML infrastructure.
• Experience with multimodal ML or LLMs and deploying AI-first systems.

Responsibilities

• Learn more about benefits at Google .
• Optimize the Search results page to co-evolve ads and AI-driven experiences.
• Leverage AI/ML advancements to solve optimization problems across search ads.
• Deliver ad experiences in the world of AI.
• Design, build, and maintain self-service tools embedding AI/ML quality evaluation.
• Architect systems for deploying AI/ML models for data quality assessment.

Skills

8 years software development

Java/C/C++/Python

ML design and infrastructure

Multimodal ML / LLMs experience

AI-first systems deployment

Education

Bachelor’s degree or equivalent practical experience

Tools

Java

C/C++

Python

Distributed systems

NLP / AI tooling

Job description

Google's software engineers work on next‑generation technologies that connect billions of users with information and extend beyond web search. We seek engineers who bring ideas across AI, information retrieval, distributed systems, NLP, UI and mobile to the full stack.

You will lead efforts across Ads and DeepMind, and leverage AI to build 10x better ads experiences. Individual pay is determined by job-related skills and education.