Google · Sunnyvale, CA, USA; Atlanta, GA, USA; Kirkland, WA, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; San Bruno, CA, USA; Seattle, WA, USA ·
DeepMind · London, UK
appier · Taipei, Taiwan
Adobe · Noida, Uttar Pradesh
Adobe · Noida
Training Basket · Noida, India
Develop AI/ML systems across the full stack at Google, from low-level hardware acceleration and compiler optimizations to model architecture and production APIs.
Google's engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at a massive scale. You'll be at the forefront of innovation, developing systems and AI and Machine Learning solutions.
As a PhD graduate, your research expertise is invaluable to us. Explore a variety of projects, collaborate with various teams, and contribute to products that are changing the world, across many product areas, including AI & Infrastructure, Cloud, YouTube, Search, Ads and more!
Our engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems and products. As a Google PhD Software Engineer, you will work on critical projects, with many opportunities to learn and follow your interests. We expect our engineers to be creative and versatile, leading and identifying new problems to push the field and Google technology forward.
Google offers you exciting opportunities as it is one of the world’s leading producers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using ML software and custom ML hardware infrastructure at massive scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.