The Software Engineer role in Semantic Understanding for Search Ads Personalization at Google focuses on enhancing personalization models through real-time understanding of user interactions with content. The team aims to improve ad quality and optimize campaigns using advanced machine learning techniques. Engineers will collaborate with various teams to build infrastructure that supports these models. This position offers the opportunity to work on cutting-edge AI technologies that impact billions of users globally.

• Bachelor's degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience building and deploying recommendation systems models in production.
• 1 year of experience with ML infrastructure, including model deployment and evaluation.
• Experience with Large Language Models, Multi-Modal, or Large Vision Modeling.

• Write and test product or system development code.
• Participate in or lead design reviews with peers and stakeholders.
• Review code developed by other developers and provide feedback.
• Build model and architectural components for effective ad attention.
• Design real-time infrastructure and representations of user viewed content.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.