Senior Research Engineer - Machine Learning Algorithms | Netflix, Inc. | Los Gatos, CA
Engineering
Senior Research Engineer - Machine Learning Algorithms
Product EngineeringLos Gatos, CA
The Algorithms Engineering (AE) team drives the research,
development and innovation for the algorithms in the Netflix product
including Search, and Personalization. We are looking for a passionate
and talented machine learning expert to join our team of researchers and
developers. In this position, you will lead the way in experimenting
and implementing the next generation of algorithms to improve the
experience for our more than 50 million members in more than 40
countries. You will use all the information we gather to train machine
learning algorithms. You will work on advanced problems such as
personalized learning to rank, row ordering and selection, personalized
search, or similarity models. 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 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.
If you are ready to make a difference at a company that matters, if
you want to work on algorithms and data in a company that strongly
believes in both, we would love to talk to you.
MINIMUM JOB QUALIFICATIONS:
- At least five years of research 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 software 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
- PhD in computer science, statistics or equivalent
PREFERRED JOB QUALIFICATIONS:
- Experience in recommendation systems or search.
- Experience with Cloud Computing platforms and large web-scale distributed systems
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