Data Engineer (L5) - Content Machine Learning

Position Overview

Netflix is one of the world’s leading entertainment services with over 278 million paid memberships across more than 190 countries. We are seeking a Data Engineer with a background in Machine Learning to own and scale data systems for our Content Knowledge Graph. In this role you will build robust pipelines and machine learning models to power data-driven decisions across the organization.

Key Responsibilities

• Engineer efficient, adaptable, and scalable data pipelines to process both structured and unstructured data.
• Leverage ML techniques for information extraction, build knowledge graphs, and utilize graph ML to drive business insights.
• Build robust data quality systems using best-in-class data and ML techniques to enhance business value.
• Develop a deep understanding of the Netflix Data Science & Engineering ecosystem and its connected business domains.
• Translate business requirements into data solutions that empower teams to innovate on top of the Netflix KG.
• Collaborate closely with data science, machine learning, analytics, and business teams to deliver high-impact outcomes.

Required Qualifications

• Passionate about building reliable and trustworthy web-scale data products.
• Highly proficient in at least one programming language (e.g., Python, Java, or Scala) with over 4 years of software or data engineering experience.
• Hands-on experience with SQL and big data technologies (e.g., Hive, Presto, Spark, Iceberg) on medium to large-scale datasets.
• Familiarity with machine learning libraries such as TensorFlow, PyTorch, JAX, or Keras.
• Experience working in machine learning or natural language processing domains, with a preference for productionizing models at scale.
• Conceptual familiarity or interest in graph technologies including databases, data models, and query languages.
• Strong communication skills with an ability to work collaboratively in cross-functional teams.
• Eagerness to learn new business domains, demonstrate excellence, and advance your career.

Benefits & Perks

• Comprehensive Health Plans and Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program and Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits along with Life and Serious Injury Benefits
• Paid leave programs, including 35 days annually for full-time hourly employees and flexible time off for salaried employees
• Compensation: Annual salary exclusively ranging from $170,000 to $720,000, with the option to choose the salary versus stock option split each year