GenAI AI/ML Software Engineer III - Ads Platform

Google LLC; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC in Mountain View, CA is seeking a Software Engineer III, AI/ML GenAI for Google Ads to develop next-generation AI-powered advertising solutions. You will write code, deploy models, and collaborate across teams to scale GenAI features for billions of users.

The role emphasizes end-to-end ML, data processing, and performance optimization, with opportunities to work with Google Research and DeepMind on cutting-edge GenAI technologies.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, 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++

End-to-end ML

GenAI concepts

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in CS

Tools

Python

C++

Job description

Google LLC in Mountain View, CA is seeking a Software Engineer III, AI/ML GenAI for Google Ads to develop next-generation AI-powered advertising solutions. You will write code, deploy models, and collaborate across teams to scale GenAI features for billions of users.

The role emphasizes end-to-end ML, data processing, and performance optimization, with opportunities to work with Google Research and DeepMind on cutting-edge GenAI technologies.