GenAI ML Engineer III for Ads Platform

Google Inc.; Los Angeles (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is hiring a Software Engineer III for AI/ML GenAI within Google Ads, based in Los Angeles, CA. The role focuses on GenAI concepts, large-scale AI systems, and collaboration across teams to deliver value for advertisers and users.

The position involves in-person interviews in most cases and requires English proficiency for all roles. You will work on projects critical to Google’s advertising platform, with opportunities to grow across teams and technologies.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Python

C++

ML infrastructure

GenAI concepts

Education

Bachelor's degree

Master's or PhD (preferred)

Job description

Google is hiring a Software Engineer III for AI/ML GenAI within Google Ads, based in Los Angeles, CA. The role focuses on GenAI concepts, large-scale AI systems, and collaboration across teams to deliver value for advertisers and users.

The position involves in-person interviews in most cases and requires English proficiency for all roles. You will work on projects critical to Google’s advertising platform, with opportunities to grow across teams and technologies.