Netflix is seeking a passionate Software Engineer for Machine Learning to join the AI for Member Systems team. This role focuses on designing, developing, and scaling machine learning algorithms that enhance the Netflix experience. The engineer will collaborate with machine learning researchers, product managers, and other engineers to innovate and improve existing systems. The position requires a strong software engineering background and the ability to work in cross-functional teams.

• A degree in Computer Science or a related field
• 4+ years of full-time software engineering experience with a bachelor's degree, or 2+ years of experience with a graduate degree
• Excellent software design and development skills in Python along with Scala, Java, C++, or C#
• Solid understanding of various software engineering best practices and their appropriate application
• Experience building web-scale parallel and distributed computing systems
• Experience with large-scale data frameworks such as Spark or Flink
• Excellent collaboration skills
• Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems

• Design, develop, and scale solutions for machine learning algorithms that power the Netflix experience
• Collaborate with applied researchers and data scientists to implement scalable, production-ready solutions
• Drive the vision, requirements, design, implementation, testing, and ownership of software components
• Identify areas for improvement and provide mentorship to the team
• Create solutions that are used beyond the immediate team

• 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.