Job Description:

Netflix is revolutionizing the entertainment industry with world-class technology. We are both a content distributor and a producer for original and premium shows. We serve millions of subscribers in more than 190 countries around the world. We produce hundreds of new series, movies, documentaries, stand-up specials, and content across various other categories each year. Because of our global footprint, we are able to elevate new types of creators, tell a diverse set of stories and inspire a global audience.

Job Responsibilities:

Be entrepreneurial and collaborate with business partners to identify potential high-value applications of machine learning technology to our domain.
Independently deliver effective solutions to problems.
End-to-end development of machine learning models that will have a high-impact on our decision-making.
Own full-stack technology, from data to product and the feedback loop.
Communicate results to a variety of audiences, technical and non-technical.
Synthesize common patterns & build effective abstractions across different ML pipelines that accelerate the impact of ML driven insights.
Enact Netflix values in daily work and interactions.

Job Requirements/Qualifications:

Passion for and an appreciation of the creative and entertainment industry is definitely a plus.
Solid experience in building production machine learning systems.
Strong coding experience. Experience with open-source ML packages (specifically sklearn, TensorFlow/Keras/PyTorch).
Excellent communication skills and an ability to translate business context and intuition into data-oriented hypotheses to drive impact.
Experience building robust ML infrastructure, applying engineering best practices.
At least four years of applied ML experience with a successful track record of delivering quality results.