Want to research and develop improvements to the core algorithms such as recommendations and search that power the Netflix experience that over 150+ million members worldwide see each time they log in? Our Algorithms Engineering team is looking for a passionate and talented applied machine learning expert to lead the way by researching and developing the next generation of algorithms for our member experience. This spans central areas of our product including how we approach recommendations, ranking, page generation, image personalization, search, messaging, and marketing.
In this role, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements for the homepage. This includes running offline experiments and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment.
If you are ready to make a difference at a company that matters, and if you want to work on machine learning and data in a company that strongly believes in both, then we would love to talk to you.
To learn more about our research work, you can visit our research page here.
What we are looking for:
5+ years of research experience with a track record of delivering quality results
Expertise in machine learning spanning supervised and unsupervised learning methods
Experience in successfully applying machine learning to real-world problems
Strong mathematical skills with knowledge of statistical methods
Strong software development experience in languages such as Scala, Java, Python, C++ or C#
Great interpersonal skills
PhD or MS in Computer Science, Statistics, or related field
Preferred, but not required, additional areas of experience:
Experience in Recommendation Systems, Personalization, Search, or Computational Advertising
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications
Experience in optimization algorithms and numerical computation
Experience with Spark, TensorFlow, or Keras
Experience with cloud computing platforms and large web-scale distributed systems
Open source contributions
Netflix offers a creative culture that values freedom and responsibility. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status, or other protected class. You can read more about our stance on diversity here.
Netflix is the world’s leading Internet television network with over 100 million members in over 190 countries enjoying more than 125 million hours of TV shows and movies per day, including original series, documentaries and feature films. Members can watch as much as they want, anytime, anywhere, on nearly any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.