Data Engineer (L5) - Content Machine Learning

Job Overview

We are looking for a Data Engineer with a background in Machine Learning to own and scale our data systems while supporting high‑visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful, scalable, and robust data systems and machine learning models that create and describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with other Machine Learning Engineers and Scientists to build scalable graphs and then leverage graph data in ML predictive models. The ideal candidate will have a strong background in distributed data processing and can demonstrate strong data intuition and end‑to‑end ownership of our systems – from data collection and processing to running ML systems in production.

Responsibilities

• Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data.


• Leverage ML techniques for information extraction, building knowledge graphs with the information, and leveraging graph ML to power business insights.


• Build robust data quality systems using best‑in‑the‑class data and ML techniques enabling the team and partners to deliver more business value.


• Develop a deep understanding of the Netflix Data Science & Engineering ecosystem and related business domains.


• Understand business requirements and provide data that empowers teams to innovate on top of the Netflix KG.


• Collaborate with cross‑functional team members and partners on projects that drive high‑impact outcomes.

Qualifications

• Passionate about data systems: build reliable and trustworthy web‑scale data products.


• Highly proficient in at least one of the programming languages (Python, Java, or Scala) with at least 4 years of software/data engineering experience.


• Comfortable with SQL and using big data technologies (Hive, Presto, Spark, Iceberg, etc.) on medium to large‑scale data.


• Familiarity with machine learning libraries (TensorFlow, PyTorch, JAX, or Keras).


• Experience working in machine learning or natural language processing domains.


• Some experience in implementing and productionizing models in large‑scale industrial settings is a plus.


• Conceptually familiar or interested in learning graph technologies (databases, data models, query languages, graph machine learning).


• Strong communication skills and ability to collaborate with cross‑functional team members and partners.


• Excited about learning new business domains, demonstrating excellence, and growing your career.

Compensation & Benefits

• Annual salary only, with option to allocate compensation between salary and stock options.


• Salary range for this role: $170,000 – $720,000.


• Benefits include 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, Life and Serious Injury Benefits, paid leave, and flexible time off.

EEO Statement

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.