Data Engineer (l5) - Content Machine Learning

Netflix

Los Angeles, California, United States
Base: $170,000 - $720,000; bonus/equity: stock opt...
Distributed data processing
Proficient in python, java, or scala
Experience with big data technologies
Netflix is a leading entertainment service with over 278 million paid memberships worldwide, offering diverse content accessible anytime and anywhere

Job Summary

  • Netflix is a leading entertainment service with over 278 million paid memberships worldwide, offering diverse content accessible anytime and anywhere.
  • The role involves engineering scalable data systems and leveraging machine learning to build and enhance the Netflix Knowledge Graph, supporting multiple business-critical applications.
  • Netflix offers a unique culture, comprehensive benefits including health plans, stock options, and flexible time off, and emphasizes diversity and inclusion in its workforce.

Matching Summary

Netflix is a leading entertainment service with over 278 million paid memberships worldwide, offering diverse content accessible anytime and anywhere.

Salary

Base: $170,000 - $720,000; Bonus/Equity: Stock options available; Benefits: Comprehensive health plans, 401(k) with match, paid leave, mental health support

Skills & Requirements

Must-have

  • Distributed data processing
  • Proficient in Python, Java, or Scala
  • Experience with big data technologies
  • SQL proficiency
  • Machine learning libraries familiarity
  • Data pipeline engineering
  • Graph machine learning interest

Nice-to-have

  • Experience in natural language processing
  • Productionizing ML models
  • Strong communication skills
  • Cross-functional collaboration
  • Passion for learning new business domains

Key Requirements

  • At least 4 years software/data engineering experience
  • Familiarity with machine learning or NLP domains
  • Experience with medium to large-scale data processing
  • Strong data intuition and end-to-end system ownership

Work Rights

Not specified

Tailored Resume

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