Netflix Machine Learning Scientist L5 - Content & Studio United States, Oregon 800853486
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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.
Livewhile 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
$150,000 - $750,000
Job is open for no less than 7 days and will be removed when the position is filled.
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