Google Cloud is seeking a Software Engineer III to join their Core Machine Learning team. This role is crucial in driving ML Excellence for Google and the world, focusing on developing ML infrastructure and key ML initiatives. The position offers an opportunity to work on cutting-edge technology that impacts billions of users globally.
As a Software Engineer III, you'll be part of the Core ML Organization, responsible for creating a cohesive path for machine learning at Google. You'll work on specific projects critical to Google's needs, with opportunities to switch teams and projects as both you and the business evolve. The role requires versatility, leadership qualities, and enthusiasm for tackling new problems across the full-stack.
The position involves working with next-generation technologies that extend well beyond web search, handling information at massive scale. You'll be part of a team that brings fresh ideas from various areas, including distributed computing, large-scale system design, artificial intelligence, and natural language processing.
Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging Google's cutting-edge technology. The platform serves customers in more than 200 countries, acting as a trusted partner to enable growth and solve critical business problems.
The role offers competitive compensation, including a base salary range of $136,000-$200,000, plus bonus, equity, and comprehensive benefits. You'll have the opportunity to work from several locations, including Sunnyvale, Mountain View, or New York City, contributing to Google's mission of organizing the world's information and making it universally accessible and useful.
The ideal candidate will have strong experience in software development, data structures, algorithms, and machine learning tools. They should be proficient in code review, system health diagnosis, and software test engineering. This role presents an excellent opportunity for those passionate about machine learning and eager to impact Google's global ML infrastructure and initiatives.