Google is seeking a Software Engineer for their Vertex AI Search team to develop and optimize machine learning-based search features. This role combines ML expertise with practical software engineering, focusing on building and maintaining embedding infrastructure for enterprise cloud customers. The position offers competitive compensation ($136,000-$200,000) plus benefits, equity, and bonuses.
The ideal candidate will have extensive experience in software development, ML infrastructure, and system architecture. You'll work on critical projects within Google's Technical Infrastructure team, helping to build the platforms that make Google's product portfolio possible. This role requires both technical depth in ML and the ability to work directly with customers to ensure product success.
Key responsibilities include productionizing ML services, building AI-powered search features, and maintaining embedding infrastructure. The role demands expertise in data structures, algorithms, and ML infrastructure optimization. You'll have the opportunity to work on technology that impacts billions of users while collaborating with teams across Google's vast technical landscape.
Google offers a collaborative environment where engineers can be versatile, show leadership, and tackle new problems across the full stack. The company provides comprehensive benefits and is committed to building a diverse, inclusive workplace. This position offers the chance to work on cutting-edge ML technology while contributing to products that shape how users interact with information worldwide.