Research Engineer (L5) - Growth and Commerce

Research Engineer (L5) - Growth and Commerce Apply: Remote type: Onsite, Location: Los Gatos, Time type: Full time, Posted: 30+ Days Ago, Job Requisition ID: AJRT45933 Netflix is a leading global entertainment service with 278 million paid memberships across over 190 countries, offering a wide variety of TV series, films, and games in multiple genres and languages. Members can watch, pause, and resume content anytime, anywhere, and can change their plans at will. The Role Location: Los Gatos, CA or Remote. Netflix's Growth & Commerce Data Science & Engineering team drives sustainable growth by leveraging data, experimentation, and machine learning to develop compelling conversion and monetization experiences throughout the membership lifecycle—from the sign-up process to post-signup commerce experiences. As a Senior Research Engineer, you will lead the development of algorithmic and ML-driven experience optimization systems, working closely with data scientists, analytics engineers, ML scientists, product managers, and other engineers. This role involves designing, implementing, and operating high-impact ML models, partnering with cross-functional teams to identify high-value applications, and improving infrastructure for ML development and deployment. You will also validate models through offline experiments and online A/B tests, and operate these models in production. Qualifications include a strong machine learning background, excellent software development skills, rapid learning ability, and strong communication and leadership skills. You should be comfortable working in a dynamic environment with minimal oversight. Responsibilities Design, implement, and operate impactful ML models in Growth & Commerce Collaborate with business and growth teams to identify ML opportunities Work with scientists and engineers on scalable end-to-end solutions Contribute to infrastructure development for ML deployment Ensure operational excellence and cost efficiency Requirements Proven experience deploying successful ML solutions Exceptional communication skills Ownership mindset and ability to handle ambiguity Willingness to learn business context in payments ecosystem Experience with ML/DL frameworks (scikit-learn, Keras, PyTorch, TensorFlow) Strong software engineering skills in Scala, Java, Python PhD or Master’s in Computer Science or related field (preferred) Experience with causal ML or reinforcement learning (a plus) Experience with Growth, Notifications, or Targeting systems (a plus) What You’ll Learn Global-scale innovation and partnership Scaling new ML areas within a successful product Compensation: Annual salary range $170,000 - $720,000. Benefits include health plans, mental health support, 401(k), stock options, disability programs, health savings accounts, family benefits, paid leave, and flexible time off. Netflix values diversity and is an equal-opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, disability, or military service.

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