Minimum qualifications:

　　Bachelor’s degree or equivalent practical experience.

　　3 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

　　3 years of experience with data structures or algorithms in either an academic or industry setting.

　　Preferred qualifications:

　　Understanding of ML, both theoretical and practical.

　　Good software engineering and problem solving skills through programming.

　　Excellent communications skills.

　　Google's software engineers develop the 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 massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

　　Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

　　Build or enhance Machine Learning (ML) models and contribute to the entire ML lifecycle.

　　Create and manage data pipelines. Create and enhance ML models. Write backend server code to power the ML inferences by integrating with existing Google ML technologies.

　　Add different types of tests. Create dashboards for visualization. Productionize the models,monitor them, and serve oncall once every quarter.

　　Work across Google product areas and project teams both in India and in the United States to build the right solutions that lead to impact.

　　Navigate through ambiguities, clarify problem areas, identify areas of impact, and present the perspectives to stakeholders.

　　Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.