The research engineer will join the Member Lifecycle and Monetization Data Science & Engineering team at Netflix, focusing on growth and commerce algorithms. This role involves operating and innovating machine learning models to optimize revenue per member post-signup. The engineer will collaborate with cross-functional teams to translate business needs into data-driven solutions. The position offers the opportunity to work on high-impact applications that can significantly influence Netflix's growth.

• A degree in Computer Science or a related field
• 4+ years of full-time engineering experience
• Excellent software design and development skills in multi-language settings including Scala, Java, and Python
• Exceptional communication skills to explain complex technical concepts clearly
• Broad understanding of core machine learning concepts and their application in large-scale systems
• Familiarity with end-to-end machine learning pipelines and common challenges like explainability

• Design, implement and operate high impact machine learning models
• Partner closely with cross-functional teams to identify high value applications of machine learning
• Work with scientists and engineers to create scalable, production-ready ML solutions
• Contribute to the development of better infrastructure for developing and deploying ML models
• Advocate for and apply best practices regarding availability, scalability, operational excellence, and cost management

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.