Engineering Manager, AI Data

Google is seeking an Engineering Manager for their AI Data team to lead and drive innovation in machine learning model quality improvement. This role combines technical leadership with people management, requiring 8+ years of software development experience and 5+ years of leadership experience. The position involves leading a team focused on scaling Data Optimization techniques to enhance ML model performance, fairness, and quality.

The role is situated within Google Cloud, a division that's at the forefront of helping organizations worldwide with their digital transformation journey. As an Engineering Manager, you'll work closely with research teams and ML practitioners to develop and implement engineering tools, processing pipelines, and data optimization techniques. You'll be responsible for building and maintaining the infrastructure ecosystem that supports AI researchers and engineers.

The ideal candidate should have a strong technical background in software development, preferably with experience in Python, C++, Java, or JavaScript. A Master's or PhD in Computer Science or related field is preferred, along with experience in ML research and development workflows. The role requires someone comfortable working in a fast-paced, ambiguous environment while managing and developing a team of engineers.

This position offers the opportunity to work at the intersection of AI infrastructure and leadership, making a significant impact on Google's AI capabilities. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with cutting-edge technology and contributing to solutions that serve customers in more than 200 countries and territories.