PhD Software Engineer

Google Cloud is seeking PhD Software Engineers to join their Machine Learning, Systems, and Cloud AI (MSCA) organization. This role offers an exceptional opportunity to work at the forefront of AI and ML technology development, where you'll be part of a team that develops next-generation technologies impacting billions of users worldwide.

As a PhD Software Engineer, you'll be working on critical projects within MSCA, applying your research expertise to real-world problems at massive scale. The role combines advanced machine learning research implementation with practical software engineering, requiring both theoretical knowledge and hands-on development skills. You'll be joining an engineering community that includes thousands of PhDs who bring their deep knowledge to enhance Google's systems and products.

The position offers extensive opportunities for growth and learning, with the chance to work on various projects and collaborate with diverse teams. You'll be contributing to Google Cloud's mission of accelerating digital transformation across industries, working with enterprise-grade solutions that leverage cutting-edge technology. The role involves leading and collaborating on team projects, carrying out design and analysis of advanced ML systems, and developing solutions that can handle information at unprecedented scales.

Google offers a competitive compensation package, including a base salary range of $136,000-$200,000, plus bonus, equity, and comprehensive benefits. The company is committed to fostering an inclusive environment and is proud to be an equal opportunity employer, welcoming candidates from all backgrounds.

The ideal candidate will have a PhD in Computer Science or related field, strong programming skills particularly in Python and modern ML frameworks, and experience in large-scale deep learning and distributed systems. This role is perfect for someone who wants to bridge the gap between academic research and practical implementation, working on some of the most challenging and impactful problems in AI and ML today.