Senior Research Scientist, Machine Learning Theory

Google Research is seeking a Senior Research Scientist specializing in Machine Learning Theory to join their Learning Theory team. This role combines theoretical research with practical applications, focusing on advancing the fundamental understanding of machine learning. The position requires a PhD in Computer Science or related field, with 2 years of research leadership experience.

The Learning Theory team at Google is dedicated to tackling fundamental learning theory problems crucial to Google's mission. The role involves expertise in learning theory, statistical learning theory, optimization, decision making under uncertainty, and reinforcement learning. The team aims to develop novel algorithms with proven effectiveness and deploy them for significant impact across Google's products.

As a Research Scientist, you'll conduct cutting-edge research in various ML theory fields, design and analyze algorithms, and collaborate with engineers to implement practical solutions. The role offers the opportunity to contribute to major projects, including work on Gemini, while maintaining active engagement with the broader research community through publications and presentations.

The position offers competitive compensation ($161,000-$239,000) plus bonus, equity, and benefits. Located in New York City, you'll be part of Google Research's mission to build the next generation of intelligent systems. The role combines academic freedom with the resources and impact of a leading tech company, offering a unique opportunity to shape the future of machine learning theory and its practical applications.

Working at Google means joining a diverse, inclusive environment with a strong commitment to equal opportunity. The role provides the perfect balance of theoretical research and practical implementation, making it ideal for someone passionate about advancing the field of machine learning while creating real-world impact.