Senior Staff Software Engineer, Core Machine Learning, Google Cloud

Google Cloud is seeking a Senior Staff Software Engineer to join their Core Machine Learning organization, which is at the forefront of driving ML excellence for Google and the world. This role combines technical leadership with hands-on development in machine learning infrastructure.

The position offers an opportunity to work at one of the world's leading technology companies, specifically in the Google Cloud division, which serves customers in over 200 countries. As a Senior Staff Engineer, you'll be responsible for creating and maintaining the infrastructure that powers Google's machine learning capabilities, while also providing technical leadership to teams working on critical projects.

The role requires a strong background in both software engineering and machine learning, with at least 8 years of software development experience and 7 years of experience with ML algorithms and tools. You'll be working with cutting-edge technology, developing solutions that impact billions of users globally.

Key aspects of the role include providing technical leadership on high-impact projects, coaching distributed engineering teams, and designing large-scale software solutions. You'll be responsible for managing project priorities and deliverables while ensuring alignment across teams on goals and timelines.

The compensation package is highly competitive, with a base salary range of $237,000-$337,000, plus bonus, equity, and comprehensive benefits. This reflects Google's commitment to attracting and retaining top talent in the field.

The position is based in either Mountain View, CA or Kirkland, WA, putting you at the heart of Google's technical operations. You'll be part of an organization that's responsible for developing ML infrastructure and executing key ML initiatives within Google, working alongside some of the brightest minds in the industry.

This role is ideal for someone who combines technical expertise with leadership abilities, has a strong background in machine learning, and is passionate about developing infrastructure that powers next-generation AI applications. You'll have the opportunity to influence the direction of machine learning at Google while working on projects that have global impact.