Software Engineer III, Machine Learning, Google Cloud Compute Infrastructure

Google is seeking a Software Engineer III to join their Cloud Compute Infrastructure team, focusing on Machine Learning applications. This role is part of Google's Technical Infrastructure team, which is fundamental to maintaining and developing Google's vast technological architecture. The position offers an opportunity to work on critical projects that directly impact Google's core infrastructure and Cloud services.

The role requires a strong background in software development, particularly in machine learning and AI technologies. With a minimum of 2 years of experience required, successful candidates will be involved in developing and maintaining large-scale systems, working with cutting-edge ML technologies, and contributing to Google's next-generation cloud infrastructure.

As part of Google Cloud, you'll be working in a division that serves customers in more than 200 countries, helping organizations digitally transform their businesses. The role combines technical expertise with practical problem-solving, requiring skills in both software development and machine learning implementations.

The position offers competitive compensation, including a base salary range of $136,000-$200,000, plus additional benefits such as bonuses, equity, and comprehensive healthcare coverage. You'll be working alongside some of the industry's best engineers, contributing to projects that impact billions of users worldwide.

This is an excellent opportunity for someone who wants to work at the intersection of cloud computing and machine learning, with the chance to influence the direction of Google's infrastructure and cloud services. The role offers significant growth potential and the opportunity to work on challenging technical problems at a massive scale.

Working at Google means being part of a company that values diversity, inclusion, and innovation. You'll have access to cutting-edge resources and technologies, while working in an environment that encourages collaboration and creative problem-solving. The position is available in several key tech hubs, including Seattle and Sunnyvale, allowing for flexibility in location while maintaining direct involvement with core teams.