Netflix is one of the worlds leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

A large part of this overall strategy involves understanding the value of our content from other studios as we work to bring a diverse catalog to our members. We’re looking for a strong senior Machine Learning Scientist to support our licensing teams as they work to spend a multi-billion dollar licensing budget in ways that best support member retention and acquisition.

In this role, you will:

On and innovate on a suite of demand forecasting models that help inform our licensed content acquisition strategy.
Be a thought partner with our content strategy teams as we continue to evolve our approach to licensing valuations
Partner closely with our Analytics Engineering teams as they help to leverage these models on the ground both in the US and globally.
Have end-to-end ownership of ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment and continuous monitoring and improvement.
Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops and ML Platform teams.
Live Netflix values while bringing a new perspective to continue improving our culture.

To be successful in this role, you have:

An ability to navigate ambiguous problem spaces and a passion for translating them into practical technical solutions, along with a track-record of delivering business solutions leveraging Machine Learning.
Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners with a differing technical backgrounds
Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
A passion for scaling your ML solutions in collaboration with your team - you seek to build modularly, for resilience, and in ways where others can take on your code when you’re away.
Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow)
An advanced degree (MS or PhD) in Computer Science, Economics, OR, Statistics, or a related technical field with a focus on machine learning and predictive modeling.
4+ years of relevant experience in one or more machine learning roles

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.