Software Engineer III, AI/ML, Google Cloud AI

Google Cloud AI is seeking a Software Engineer III to join their team working on cutting-edge AI/ML technologies. This role combines software engineering expertise with machine learning specialization, focusing on developing solutions that impact billions of users worldwide.

The position is part of the Google Cloud AI Research team, which tackles AI challenges across various industries including healthcare, finance, and retail. The team works on unique problems that push the boundaries of AI technology while maintaining a strong focus on practical applications that benefit Google Cloud customers.

As a Software Engineer III, you'll be responsible for developing product code, collaborating on design and code reviews, maintaining documentation, and implementing specialized machine learning solutions. The role requires strong programming skills, experience with data structures and algorithms, and specific expertise in machine learning infrastructure or related fields.

The position offers competitive compensation including a base salary range of $141,000-$202,000, plus bonus, equity, and comprehensive benefits. Google provides a collaborative environment where engineers can work on impactful projects while having opportunities for growth and development.

The ideal candidate will have at least 2 years of software development experience, strong understanding of data structures and algorithms, and specialized knowledge in machine learning infrastructure or related areas. While a Bachelor's degree is required, advanced degrees (Master's or PhD) in Computer Science or related fields are preferred.

This role is based in Sunnyvale, CA, and is part of Google's larger mission to develop next-generation technologies that transform how billions of users connect and interact with information. You'll be joining a team that values innovation, technical excellence, and the ability to solve complex problems at scale.

Working at Google Cloud AI offers the opportunity to contribute to cutting-edge research while developing practical solutions that have real-world impact. The team collaborates across various domains, allowing for exposure to diverse technical challenges and the chance to work with leading experts in the field of AI and machine learning.