Job Description:

Want to research and develop improvements to the core algorithms such as recommendations and search that power the Netflix experience that over 193+ million members worldwide see each time they log in? Our Algorithms Engineering team is looking for passionate and talented applied machine learning experts to lead the way by researching and developing the next generation of algorithms used to drive the Netflix experience. This spans central areas of our product including how we approach recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, search, messaging, marketing), media assets generation and optimizing Netflix-wide systems & infrastructure.

Job Responsibilities:

Experience with cloud computing platforms and large web-scale distributed systems
Experience with Spark, TensorFlow, Keras, and PyTorch
Open source contributions
Experience in optimization algorithms and numerical computation
Experience in Recommendation Systems, Personalization, Search, Computational Advertising, Natural
Language Processing or Computer Vision
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications

Job Requirements/Qualifications:

Great interpersonal skills
5+ years of research experience with a track record of delivering quality results
PhD or MS in Computer Science, Statistics, or related field
Expertise in machine learning spanning supervised and unsupervised learning methods
Strong mathematical skills with knowledge of statistical methods
Experience in successfully applying machine learning to real-world problems
Strong software development experience in languages such as Scala, Java, Python, C++ or C#