Research Scientist - Beijing
This position is located in Beijing, China.
The area: Engineering
Google engineers make computers do amazing things. Populated by extraordinarily creative, motivated and talented people, our Engineering team gets excited by developing new applications that really make a difference and are used by millions of people. We're driven by Google's mission to organize the world's information and make it universally accessible and useful. If you seek to tackle such challenges as building a highly scalable computing infrastructure, novel storage systems, innovative user experiences or the next big application that will change the world, then this might be a perfect fit for you.
The role: Research Scientist
You will be highly involved in researching and developing distributed machine learning algorithms for Web-scale applications such as search relevance, classification, recommendations, advertisement, and user research. Google Beijing Research has been collaborating with scientists and research interns from top universities world-wide. Your job plays a key role in working with these collaborators to solve most fascinating and difficult problems in computer science and to develop most impressive computing infrastructures.
Responsibilities:
- Research, design, and implement large-scale distributed software;
- Develop novel methods to parallelize computation/storage-intensive algorithms;
- Develop and deploy performance evaluation and analysis tools;
- Manage research programs with partner universities, and mentor junior members on the research team to publish
- Devise novel paradigms in computation algorithms and applications.
Requirements:
- PhD in Compute Science, Mathematics, Statistics, or related areas is preferred.
- At least 3 years experience in research and design large-scale distributed software;
- Strong publication track record at top refereed conferences.
- Strong motivation to work with large-scale real-life applications in team environment.
- Perseverance, focus, integrity, ability to make things done, leadership in organization and partnership/communication with teams in the US.
- Proven knowledge in Machine Learning, Data Mining, Natural Language Processing, Numeric Analysis, and/or Optimization.