Machine Learning Scientist, L5 – Live Manifest

October 31

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Netflix

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B2C • eCommerce • Media

Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.

- employees

Founded 1997

👥 B2C

🛍️ eCommerce

📱 Media

💰 $20M Post-IPO Equity on 2022-01

📋 Description

• Formulate complex business problems in budget allocation, marketplace matching as multi-objective optimization problems • Design and implement scalable optimization algorithms for marketplace applications that balance competing business objectives (revenue, advertiser outcome, user satisfaction) • Integrate machine learning model predictions with optimization formulations for personalized decision-making • A/B test and monitor performance for optimization-driven features • Translate complex model outputs into actionable metrics and KPIs for non-technical stakeholders, ensuring clarity and business alignment • Serve as a strategic thought partner to product managers and business stakeholders, directly influencing product direction and improving user experience • Effectively communicate findings and insights to both technical and non-technical audiences, driving adoption and understanding of ML-driven solutions

🎯 Requirements

• Advanced degree (PhD or Master's) in Operations Research, Applied Mathematics, Computer Science, or related quantitative field • Deep expertise in applying linear programming and optimization techniques to business problems • Proficiency with optimization software (Gurobi, CPLEX, FICO Xpress, OR-Tools) and Python, R, or similar languages for data analysis and optimization modeling • Strong business acumen with ability to translate business requirements into mathematical constraints • Experience working with large-scale data systems and production ML pipelines • Understanding of A/B testing methodologies and statistical analysis

🏖️ Benefits

• You choose each year how much of your compensation you want in salary versus stock options