About the job
At Google, we do research differently. Research is embedded throughout the engineering organization, allowing research and engineering to collaborate effectively, setting up large-scale tests to deploy promising innovations quickly and broadly. Ideas may generate from internal projects and collaborations with research programs at partner universities and technical institutes. Projects and collaborations include experiments and prototyping implementations, designing new architectures, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Software Engineer, you are an active contributor to the wider research community through partnering with universities, attending research conferences, and publishing papers. You will bridge the gap between a Software Engineer and a Research Scientist,. . sized problems that will impact users at scale. You will apply your skills to language understanding and perception (speech, images, video) as well as algorithm improvement. Additionally, you will work alongside Research Scientists on the Google AI team, bringing their ideas to life by implementing algorithms, running experiments, and building prototypes.
There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started.
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