Software Engineer, PhD, Early Career, Machine Learning, Systems and Cloud AI

Google Cloud is seeking PhD Software Engineers to join their Machine Learning, Systems and Cloud AI (MSCA) team. This role offers a unique opportunity to work on next-generation technologies that impact billions of users worldwide. As part of MSCA, you'll develop category-defining AI/ML solutions and capabilities, leveraging Google's extensive infrastructure and frameworks.

The position combines cutting-edge research with practical implementation, allowing you to apply your PhD expertise to real-world problems at massive scale. You'll work on critical projects within Google Cloud, with the flexibility to switch teams as your interests evolve. The role demands creativity, leadership, and enthusiasm for tackling new challenges across the full technology stack.

Google's engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance systems and products. You'll be joining one of the world's leading suppliers and consumers of ML and AI technology, with decades of experience in designing and deploying ML software and custom hardware infrastructure at scale.

The company offers a competitive compensation package, including a base salary range of $136,000-$200,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for PhD graduates looking to make a significant impact in the field of machine learning and cloud computing while working with diverse teams on products that are changing the world.

The role requires strong programming skills in languages like Python, Java, or Go, and deep expertise in machine learning systems. You'll be responsible for leading projects, resolving complex technical issues, and ensuring best practices in code development. The position offers the chance to work in various locations across the US, including major tech hubs like Sunnyvale, Cambridge, and Seattle.