Research Engineer (L4) - Member Lifecycle and Monetization

Netflix, the world's leading entertainment service with 283 million paid memberships across 190+ countries, is seeking a Research Engineer to join their Member Lifecycle and Monetization Data Science & Engineering team. This role is crucial in driving sustainable growth and revenue optimization through data-driven solutions and machine learning applications.

The position offers an exciting opportunity to work on greenfield machine learning applications that can drive millions of dollars in impact at Netflix's scale. As a Research Engineer, you'll be responsible for developing and operating growth and commerce algorithms, conducting offline experiments, and implementing A/B tests in production systems.

The role combines technical expertise in machine learning with practical software engineering skills. You'll work in a collaborative environment, partnering with ML engineers, scientists, and product managers on cross-functional initiatives. The team focuses on leveraging data, experimentation, and machine learning to develop compelling conversion and monetization experiences post-signup.

Key responsibilities include designing and implementing high-impact machine learning models, creating scalable ML solutions, and contributing to infrastructure development. You'll be working with technologies like Scala, Java, and Python, applying best practices for system availability, scalability, and operational excellence.

The ideal candidate should have 2+ years of engineering experience, strong software development skills, and a deep understanding of machine learning concepts. You'll need exceptional communication abilities to explain complex technical concepts to various stakeholders and work effectively in cross-functional teams.

Netflix offers a unique compensation structure with a salary range of $150,000 - $750,000, allowing employees to choose their preferred mix of salary and stock options annually. The company strongly values inclusion and diversity, fostering an equal-opportunity environment where all perspectives are welcomed and celebrated.

This role presents an exceptional opportunity to work on cutting-edge machine learning applications while making a significant impact on Netflix's global growth strategy. You'll be part of a team that's pushing the boundaries of what's possible in member lifecycle optimization and monetization through innovative data-driven solutions.