Research Engineer (L5) - Growth and Commerce

Senior Research Engineer – Growth & Commerce Data Science & Engineering team. Location: Los Gatos, CA or Remote. The Growth & Commerce Data Science & Engineering team plays a critical role in driving and accelerating sustainable growth of Netflix members and revenue globally, leveraging data, experimentation and machine learning. As a Senior Research Engineer, you will lead the development of algorithmic & M L-driven experience optimization systems and innovate on these algorithms in production, validating through offline experiments and building online A/B tests. You’ll partner with other ML engineers, scientists and product managers on cross‑functional ML initiatives. Responsibilities Design, implement and operate high‑impact machine learning models in Growth & Commerce. Partner closely with cross‑functional Growth leads and business analysts to identify high‑value applications of machine learning, translating business intuition into data‑driven solutions. Work closely with scientists and engineers on detailed requirements and implementation of end‑to‑end solutions at scale. Inform and influence 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. Qualifications Deep end‑to‑end ML experience with a strong track record of deploying successful ML solutions. Exceptional communication skills, able to explain complex technical concepts clearly to cross‑functional partners. Ability to deal with ambiguity; a strong ownership mindset, and a desire to thrive on minimal oversight and process. Willingness to learn and rapidly absorb business context in the complex payments ecosystem. Strong experience in an ML/DL framework (e.g., "scikit‑learn", "Keras", "PyTorch", "TensorFlow"). Excellent software engineering skills in multi‑language settings with Scala, Java, and Python. PhD or Masters in Computer Science or related field preferred. Experience with causal ML or reinforcement learning is a plus. Experience with Growth, Notifications or other Targeting systems is a plus. Learning & Growth Innovation and partnership on a global scale, navigating the balance of technical rigor with business requirements. Incubating and scaling new areas of ML within a highly successful product. Compensation Annual salary range: $170,000 – $720,000. Benefits Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family‑forming benefits, and Life and Serious Injury Benefits. Additional paid leave of absence programs are offered. Full‑time hourly employees accrue 35 days annually for paid time off, to be used for vacation, holidays, and sick time. Full‑time salaried employees are immediately entitled to flexible time off. Equal Opportunity Employer We are an equal‑opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. #J-18808-Ljbffr Netflix, Inc.