Software Engineer, Real-time Semantic Ads Personalization

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

Job summary

Google is seeking a Software Engineer focused on Semantic Understanding for Search Ads Personalization in Mountain View, CA. You will work on end-to-end personalization with real-time understanding of user interactions and content features to improve ad relevance and user experience.

The role involves collaborating across Ads teams, building scalable real-time infrastructure, and contributing to state-of-the-art AI and personalization models.

Qualifications

• 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 (model deployment, data processing, debugging).
• Experience with LLMs, Multi-Modal, or Large Vision Modeling.

Responsibilities

• Write and test product or system development code.
• Participate in, or lead design reviews to decide among technologies.
• Review code and provide feedback to ensure best practices.
• Build model and architectural components for attention over user preferences and history.
• Design real-time infrastructure and representations of user viewed content.

Skills

Python

C++

Recommendation systems

ML infrastructure

LLMs / Multi-Modal / Vision

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD (preferred)

Job description

Google is seeking a Software Engineer focused on Semantic Understanding for Search Ads Personalization in Mountain View, CA. You will work on end-to-end personalization with real-time understanding of user interactions and content features to improve ad relevance and user experience.

The role involves collaborating across Ads teams, building scalable real-time infrastructure, and contributing to state-of-the-art AI and personalization models.