Senior AI/GenAI Software Engineer - Ads

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google LLC in Mountain View, CA seeks a Senior Software Engineer focused on AI/ML GenAI for Google Ads. The role emphasizes building scalable GenAI-driven advertising tech, collaborating with Google Research and DeepMind to push state-of-the-art AI across ad products.

Responsibilities include designing end-to-end ML pipelines, deploying models, and improving user safety and ad quality at massive scale. In-person interviews are common.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI concepts.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies.
• Contribute to existing documentation or educational content and adapt content based on product 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.
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Skills

Python

C++

End-to-end ML

GenAI concepts

Software testing

Architecture design

Leadership

Education

Bachelor's degree

Master's or PhD in CS

Job description

Google LLC in Mountain View, CA seeks a Senior Software Engineer focused on AI/ML GenAI for Google Ads. The role emphasizes building scalable GenAI-driven advertising tech, collaborating with Google Research and DeepMind to push state-of-the-art AI across ad products.

Responsibilities include designing end-to-end ML pipelines, deploying models, and improving user safety and ad quality at massive scale. In-person interviews are common.