Senior Research Engineer Information

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Netflix, Inc

Netflix revolutionizes the way people watch TV shows and moviesWith more than 26 million streaming members in the United States, Canada, Latin America, the United Kingdom and Ireland, Netflix, Inc. (NASDAQ: NFLX) is the world's leading internet subscription service for enjoying movies and TV programs. For about US$7.99 a month, Netflix members can instantly watch movies and TV programs streamed over the internet to PCs, Macs and TVs. Among the large and expanding base of devices streaming fro... Read More

Address	100 Winchester Circle Los Gatos, CA 95032 (408) 540-3700
Website	/signup.netflix.com/
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Senior Research Engineer

We are looking for a passionate and talented machine learning Senior Research Engineer to join our team of researchers and developers. In this position, you will lead the way in experimenting and implementing the next generation of personalization algorithms to improve the experience for our more than 25 million customers. You will use all the information we gather from our members to train machine learning algorithms for collaborative filtering and hybrid recommender systems. You will work on advanced problems such as personalized learning to rank, and will put your knowledge to practice by dealing with issues such as position bias or explore-exploit tradeoffs. For more details on the kind of problems we are working on, read this 2-part blog post by members of our team.

In this position, you will be expected to drive the requirements for and own experiments throughout their life cycle. You will work hand in hand with developers, researchers, and data scientists. You will need to exhibit strong leadership and communication skills, ability to set priorities, and execution focus in a dynamic distributed application development environment. To be successful in this role, you must have a strong machine learning/data mining background, be a quick learner, have proven software development skills, and work well in large cross-functional teams.

You will measure your success by the quality of your execution, the pace of innovation you help drive, and the increased satisfaction you help bring to our millions of subscribers as the business continues to aggressively grow. If you are ready to make a difference at a company that matters, if you want to work on recommendation algorithms in the company that re-invented recommendation algorithms, we would love to talk to you.

MINIMUM JOB QUALIFICATIONS:

* At least five years of research/software engineering experience

* Strong background on machine learning and data mining with a broad understanding of unsupervised and supervised learning methods

* Strong algorithmic background

* Strong mathematical skills with knowledge of statistical methods

* Proven object-oriented development skills and experience

* Experience with traditional data storage platforms and distributed systems such as Hadoop.

* Successful track record of delivering quality results in complex cross-functional projects

* Motivated by continuous learning and development

* Comfortable working in a fast-paced, dynamic environment, juggling multiple projects

* Great communication skills

* MS in computer science or equivalent (PhD preferred)

PREFERRED JOB QUALIFICATIONS:

* Experience in recommendation systems, personalized relevance, and learning to rank

* Experience with Cloud Computing platforms and large web-scale distributed systems

* Java/J2EE development experience

* Experience in Agile methods