In August 2011, Shanda Group opened Shanda Innovations America (SIA) in Silicon Valley, heart of global innovations. The group decided to establish SIA from the grounds up to build a global center of scientific and engineering excellence. SIA is a hybrid company with the freedom of a Research organization and the reward of building fundamental and new technologies powering Shanda Interactive Entertainment products ranging from MMORPH Games, to Casual and Social Games, to Video Entertainment and Search , to Online Novel Publishing. In addition, SIIA will take advantage of the entrepreneurship in Silicon Valley to incubate new startup ideas for the U.S. market.
Shanda Group (past NasdaqGS: SNDA) is a leading interactive entertainment media company with headquarter in Shanghai, China. With child companies like Shanda Games (NasdaqGS: GAME), Shanda Literature, Shanda Online, and Ku6 (NasdaqGS: KUTV), Shanda provides broad interactive entertainment contents and services to users. Please visit Shanda Group's website for more details.
We want entrepreneurs, and technology driven individuals who are passionate about leaving a large footprint and shaping the future of the digital entertainment world. We are looking for outstanding scientists and engineers at all levels who are passionate about one or more of the following disciplines: machine learning, data mining and data infrastructure, collaborative filtering, social networking analysis, marketplace analysis, and recommendation systems, We want smart, driven people, who are also nice – we have a no jerks hiring policy.
We are looking for candidates with strong analytical and software skills to join us. You will work in one of many areas including user profile modeling, improve relevance and yield optimization of our advertizing product. You will apply machine learning and data mining techniques to build models that will help improve relevance / consumer experience and increase revenue through better targeted advertizing. You will have plenty of opportunities to develop new and innovative algorithms and technologies; many of which will likely yield patents.
MS or PhD Computer Science, Statistics, Math, Physics or related Engineering Discipline; Experience in data mining, machine learning or modeling; Strong communication and collaboration skills Love of large datasets
Experience with shipping a machine-learned/statistical feature in an industrial environment; Hands-on experience with a Map-Reduce framework
Experience with shipping a machine-learned/statistical feature in an industrial environment
Familiarity with one or more of: boosting/bagging ML techniques, principal component analysis, collaborative filtering algorithms, record linkage
We are looking for engineers who are passionate in software engineering and can thrive in a dynamic research work environment. A self driven engineer who loves working in an intense but fun, very dynamic environment. Someone who is passionate about building high throughput data processing systems and/or low latency, high performance serving systems. Someone who collaborates with passion in design discussions, code reviews, technology and product innovation with other team members.
MS or PhD Computer Science or equivalent; Concurrent programming, network programming, Linux development tools; Experience with cloud computing platforms – Hadoop, Amazon Web Services Proficient in C++ and/or Java
Familiar with state of the art in information retrieval Deep understanding of performance issues
Expert in C++ and/or Java; 7 years work experience; Engineering lead experience for a high impact sub system of a high volume internet service
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