Netflix Machine Learning Scientist L5 - Member Lifecycle Monetization DSE 

United States, Oregon 

833878021

In this role, you will:

• Own and innovate on our suite of foundational lifecycle models, such as lifetime value and other churn models.

• Have end-to-end ownership of ML model development lifecycle, from feature engineering, to model training, evaluation, deployment and continuous monitoring and improvement.

• Closely work with Data Science and Product stakeholders to develop a roadmap that meets the needs of changing business priorities.

• Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions.

• Advocate for and apply best practices around developing and deploying data-driven applications

• Live Netflix values in daily work and interactions

What you’ll bring:

• Deep experience developing and deploying Machine Learning models with a successful track record of and passion for delivering business impact.

• Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners

• Ability to deal with ambiguity; a strong ownership mindset, and a desire to thrive on minimal oversight and process

• You have deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.

• You have strong coding experience in Python, and expertise in ML frameworks (e.g., scikit-learn, Keras, PyTorch, TensorFlow)

• You hold an advanced degree (MS or PhD) in Computer Science, Electrical Engineering, Statistics, Computational Social Science, or a related technical field with a focus on machine learning, artificial intelligence, and predictive modeling.

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 $170,000 - $720,000.

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