Short DescriptionThe Google Brain teams research focuses on methods that can learn multiple layers of rich, non-linear feature extractors and can scale to large amounts of data. Much of our work is best understood as part of the deep learning subfield of machine learning, but we are interested in any methods capable of efficient and effective feature learning that get good results on challenging problems.
- Participate in cutting edge research in machine intelligence and machine learning applications.
- Develop solutions for real world, large scale problems.
- PhD in Computer Science, related technical field or equivalent practical experience.
- Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence)
- Programming experience in one or more of the following: C, C++, Python
- Contributions to research communities and/or efforts, including publishing papers in machine learning venues (e.g: JMLR, ICLR, NIPS, ICML, ACL and CVPR)
- Relevant work experience, including full time industry experience or as a researcher in a lab
- Strong publication record
- Ability to design and execute on research agenda.
It offers services designed for work and productivity (Google Docs, Sheets and Slides), email (Gmail/Inbox), scheduling and time management (Google Calendar), cloud storage (Google Drive), social networking (Google+), instant messaging and video chat (Google Allo/Duo), language translation (Google Translate), mapping and turn-by-turn navigation (Google Maps/Waze), video sharing (YouTube), notetaking (Google Keep), and photo organizing and editing (Google Photos). The company leads the development of the Android mobile operating system, the Google Chrome web browser, and Chrome OS, a lightweight operating system based on the Chrome browser. Google has moved increasingly into hardware; from 2010 to 2015, it partnered with major electronics manufacturers in the production of its Nexus devices, and in October 2016, it released multiple hardware products (including the Google Pixel smartphone, Home smart speaker, Wifi mesh wireless router, and Daydream View virtual reality headset). The new hardware chief, Rick Osterloh, stated: "a lot of the innovation that we want to do now ends up requiring controlling the end-to-end user experience". Google has also experimented with becoming an Internet carrier. In February 2010, it announced Google Fiber, a fiber-optic infrastructure that was installed in Kansas City; in April 2015, it launched Project Fi in the United States, combining Wi-Fi and cellular networks from different providers; and in 2016, it announced the Google Station initiative to make public Wi-Fi around the world, with initial deployment in India.