Senior Research Engineer - Personalized Ranking Algorithms | Netflix, Inc. | Los Gatos, CA
Engineering
Senior Research Engineer - Personalized Ranking Algorithms
Product EngineeringLos Gatos, CA
Our team drives the research, development, and innovation for ranking and clustering algorithms at Netflix. We are looking for a passionate and talented machine learning expert to join our team of researchers and engineers. In this position, you will lead the way by implementing and owning the next generation of algorithms to improve the product for our more than 50 million members in over 40 countries.
Problems you'll work on:
- Recommender Systems and Personalization. Almost every aspect of the Netflix experience is personalized to the user. We apply a number of algorithms, from the latest in recommender systems, to explore/exploit approaches to personalize every aspects of the Netflix experience.
- Learning to Rank. One of the core tasks within the Netflix product is to rank movies and TV shows. These algorithms are used heavily in the generation of the Netflix homepage, where over 75% of users select what they're going to watch.
- Unsupervised Learning, such as Clustering and Matrix Factorization. We use unsupervised machine learning and other probabilistic algorithms to infer information about our user's tastes and preferences across massive datasets.
Requirements:
- 5 years experience working as a researcher or data scientist
- Strong background in machine learning with a broad understanding of unsupervised and supervised learning methods
- Experience writing production quality code in a language such as Java, Scala, or Python
- Successful track record of delivering results in complex cross-functional projects
- Strong mathematical skills with knowledge of statistical methods
- Great communication skills
- Motivated by continuous learning and development
- PhD in computer science, statistics or equivalent
Preferred, but not required:
- Experience in recommendation systems or search
- Experience with distributed computing platforms (e.g. Hadoop, Spark, Scalding, or equivalent)
- Open source contributions
If you are ready to make a difference at a company that matters and if you want to work on algorithms and data in a company that strongly believes in both, then we would love to talk to you.
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