Machine Learning Scientist 5 @ Netflix

AI & Machine Learning (1)

Netflix is revolutionizing the entertainment industry with world-class technology. We serve 260+ million members across 190+ countries, delivering great movies & TV shows every month in 30+ languages.

The Studio Intelligence team, within Data Science and Engineering, is responsible for developing and deploying analytics and machine learning tools and models that inform, support, and automate decision-making in the Netflix Studio. We collaborate closely with business and product partners in Content Finance and FP&A to identify high-impact opportunities for data to enhance processes like cash forecasting, budget creation, and production planning

We are looking for an experienced ML Scientist to join the team.

Responsibilities

Own and innovate on our highly impactful Cash Forecasting capabilities to enable increasingly sophisticated and accurate insights about our production spend.
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 Business 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.
Collaborate closely with ML Scientists and Analytics Engineers on the team to develop shared capabilities and best practices around developing and deploying data-driven applications for our Studio partners.
Embrace and enact Netflix values in daily work and interactions.

About You

You have 5+ years of experience developing and deploying Machine Learning models with a successful track record of and passion for delivering business or research impact.
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.
You have deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
You are an excellent communicator with the ability to translate business context into ML applications, and, conversely, explaining outputs of ML applications to business partners, product managers, and peers.
You thrive in collaborative environments, and enjoy working with a diverse group of peers to solve ambiguous, impactful, problems. You are selfless in seeking the best solution for the problem at hand.
You have strong coding experience in Python, with proficiency in ML frameworks such as TensorFlow, Keras, or PyTorch.
A passion for and appreciation of the creative and entertainment industry is definitely a plus.
Experience modeling financial data and familiarity with financial planning and analysis is a plus.

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.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefitshere.

Netflix is a unique culture and environment. Learn morehere.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want anaccommodation/adjustmentfor 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 diversitybuilds 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.

Machine Learning Scientist 5

Content and Studio, Data Science & Analytics, Streaming

Netflix

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