Senior Software Engineer, Machine Learning, Google Ads

Google is seeking a Senior Software Engineer to join their Machine Learning team within Google Ads, a crucial division that powers the open internet through advanced advertising technology. This role combines software engineering expertise with machine learning specialization to develop solutions that connect users, publishers, and advertisers effectively.

The position offers an opportunity to work at one of the world's leading tech companies, developing systems that impact billions of users. As a senior engineer, you'll be responsible for designing, developing, and maintaining sophisticated ML-powered advertising solutions while working with cutting-edge technologies in artificial intelligence and machine learning.

The role requires strong technical expertise in software development, data structures, algorithms, and specific experience with ML/AI tools and deep learning. You'll be working on projects that directly impact Google's advertising ecosystem, helping businesses of all sizes grow through effective advertising tools and delivering measurable results.

Key responsibilities include writing and testing code, leading technical design reviews, mentoring other developers through code reviews, contributing to technical documentation, and resolving complex system issues. The position offers competitive compensation ($166,000-$244,000 base salary plus bonus and equity) and comprehensive benefits.

This is an excellent opportunity for experienced engineers who want to work on challenging problems at scale, particularly those interested in the intersection of advertising technology and machine learning. The role offers the chance to work from either New York or Mountain View, providing flexibility while maintaining direct collaboration with core teams.

Google's commitment to diversity and inclusion, combined with their technical innovation in the advertising space, makes this an ideal position for someone looking to make a significant impact in the field of machine learning while working on products that serve millions of businesses and billions of users worldwide.