Senior Software Engineer - Recommendation Systems | Netflix, Inc. | Los Gatos, CA
Engineering
Senior Software Engineer - Recommendation Systems
Product EngineeringLos Gatos, CA
THE OPPORTUNITY
Ever been in the mood to watch a movie but couldn't figure out what
to watch? Tired of turning to search or a TV program guide to find what
to watch?
Our job is to know what you want to watch before you know it
yourself. The Recommendation Services & Algorithms team develops the
recommendation services that compute movie recommendations and provide
the famous Netflix personalized experience. You'll engineer robust
recommendation engines that run in distributed systems in the cloud to
help individual subscriber discover his or her perfect movie or TV
show.
You’ll measure your success by the quality of your execution, the
creativity in your solution and the pace of innovation you help drive.
If you’re ready for high-impact work at an innovative company and
if you want huge challenges to tackle, we would love to talk to you.
THE COMPANY
Netflix is the leading online video subscription service, reaching
millions of US and international households. The company is known for
personalization technologies, innovation and unique company culture. Our
recommendation algorithms help drive billions of hours that Netflix
customers stream each month.
THE CULTURE
When you get up in the morning and think about your work for the
day are you excited? Can’t wait to get started? Do you feel like the
work you do makes a difference and moves the business in a meaningful
way? Do your coworkers know who you are, what you do, and that you do it
exceptionally well? Do you want to work with smart people who love to
solve hard problems? This is the kind of environment that we value at
Netflix. High performance is revered and required.
QUALIFICATIONS
Minimum Qualifications
- 5+ years of system & software engineering
- Strong and proven Java and object oriented development
- BS/MS in Computer Science (or equivalent)
- Strong verbal and written communication skills
- Experience with distributed systems and client-server architectures
Preferred Qualifications
- Experience building recommender systems
- Experience with web services or cloud computing
- Experience in A/B testing
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