Senior Software Engineer, Machine Learning, Google Ads

Google is seeking a Senior Software Engineer specializing in Machine Learning for their Ads team, a critical role that combines advanced software engineering with cutting-edge AI/ML applications. This position offers an opportunity to work at one of tech's most influential companies, developing solutions that impact billions of users worldwide.

The role is centered within Google Ads, a crucial revenue-generating division that powers the open internet by connecting people, publishers, and advertisers. You'll be working on sophisticated machine learning systems that help deliver relevant, effective advertising solutions across Google's vast network.

As a senior engineer, you'll be responsible for designing, developing, and maintaining complex ML systems, while collaborating with cross-functional teams to drive innovation in advertising technology. The position requires strong technical expertise in both traditional software engineering and machine learning, with opportunities to work on large-scale systems that handle massive amounts of data.

The compensation package is highly competitive, with a base salary range of $166,000-$244,000, plus additional benefits including bonuses, equity, and comprehensive healthcare coverage. The role offers the flexibility to work from either New York or Mountain View, providing access to Google's renowned campus facilities and culture.

Key responsibilities include writing and testing production code, leading technical design reviews, mentoring other developers, and ensuring best practices in code quality and system architecture. You'll be working with cutting-edge ML/AI algorithms and tools, applying them to real-world advertising challenges that directly impact Google's business success.

This is an ideal position for someone who combines strong software engineering fundamentals with expertise in machine learning, and who wants to work on problems at massive scale. The role offers excellent growth opportunities, access to Google's vast technical resources, and the chance to work with some of the industry's top talent in both software engineering and machine learning.