There are still lots of open positions. Let's find the one that's right for you.
Google's homegrown, bespoke ML TPU infrastructure is one of Google's fastest growing infrastructure investments, which enables increase in performance despite the end of Moore's Law. ML Efficiency Data Science is the team in Google Cloud that provides insights, tools and analyses that help ML infrastructure service consumers (e.g., product area users can effectively use ML resources for training and serving ML models). Our mission is to deliver a common infrastructure as a service for machine learning that is easy to use, efficient and robust using analytics services to drive actionable insights for ML. And we are searching for people who are passionate about this space and are looking to make a significant impact. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.