GenAI ML Software Engineer – Ads Platform

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Ads is seeking a Software Engineer III focused on AI/ML GenAI to join our growing team in Los Angeles, CA. You will work on next-generation AI systems, collaborating across engineering to deploy models, optimize performance, and scale products for billions of users.

The role requires strong coding skills in Python or C++, experience with ML infrastructure, and knowledge of GenAI concepts. The team values leadership, collaboration, and a passion for building trustworthy, scalable software.

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++

GenAI concepts

ML infrastructure

Education

Bachelor's degree

Job description

Google Ads is seeking a Software Engineer III focused on AI/ML GenAI to join our growing team in Los Angeles, CA. You will work on next-generation AI systems, collaborating across engineering to deploy models, optimize performance, and scale products for billions of users.

The role requires strong coding skills in Python or C++, experience with ML infrastructure, and knowledge of GenAI concepts. The team values leadership, collaboration, and a passion for building trustworthy, scalable software.