Staff Software Engineer, Machine Learning

Google is seeking a Staff Software Engineer specializing in Machine Learning to join their Corp Engineering Machine Learning team. This role is crucial in applying AI/ML techniques to Google's enterprise challenges, working at the intersection of research and enterprise applications.

The position is based in Google's Hyderabad office, where you'll be part of the Corp Engineering team that builds world-leading business solutions scaling Google's internal operations. As part of Google's IT organization, you'll be instrumental in providing end-to-end solutions that help make Google more efficient and effective.

The role requires a strong background in software development (8+ years) and machine learning (5+ years), with expertise in designing and implementing scalable AI solutions. You'll be working with cutting-edge technologies and applying them to real-world enterprise challenges. The position involves close collaboration with research teams and enterprise units to identify and implement AI opportunities.

Key responsibilities include designing scalable AI solutions, developing reusable enterprise AI primitives, and driving innovation in AI and agentic solutions. You'll also partner with Product Managers and UX teams to shape product roadmaps and mentor junior engineers. The role requires both technical excellence and leadership skills, as you'll be contributing to the team's technical direction.

This is an excellent opportunity for experienced engineers who want to impact Google's internal operations through AI/ML applications. The position offers the chance to work with advanced technologies while solving complex enterprise challenges. You'll be part of a team that's essentially "Google for Googlers," building solutions that help make Google more efficient and effective at scale.

The ideal candidate will have strong experience with data structures/algorithms, proven technical leadership experience, and familiarity with cloud platforms like GCP. You'll need to be versatile, display leadership qualities, and be enthusiastic about taking on new problems across the full stack as Google continues to push technology forward.