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Applied Machine Learning Backend Engineer (L5), Monitoring & Alerting

Netflix is one of the world's leading entertainment services with 283 million paid memberships in over 190 countries.
United States
$100,000 - $720,000
Machine Learning
Staff Software Engineer
Remote
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS

Description For Applied Machine Learning Backend Engineer (L5), Monitoring & Alerting

Netflix, a global entertainment leader with 283 million subscribers, is seeking an Applied Machine Learning Backend Engineer for their Observability Team. This role combines backend engineering with machine learning expertise, focusing on monitoring and alerting systems. The position involves working with cutting-edge technologies including LLMs and real-time data processing systems, handling billions of data points per minute. The ideal candidate will have 6+ years of experience in high-scale environments, strong proficiency in Java and Python, and expertise in machine learning algorithms and distributed computing. The role offers competitive compensation ($100,000 - $720,000) and comprehensive benefits. As part of Netflix's engineering team, you'll contribute to building robust observability products, implement AI Ops strategies, and mentor early career engineers. The position offers remote work flexibility and the opportunity to work in Netflix's unique culture that values innovation, inclusion, and ownership. This role is perfect for someone who combines technical expertise with strong collaborative skills and a product-minded approach.

Last updated 2 days ago

Responsibilities For Applied Machine Learning Backend Engineer (L5), Monitoring & Alerting

  • Work across suite of observability products including System Health Experience, Alert configuration and management tools
  • Define and implement forward-looking strategy for Netflix's AI Ops platform
  • Build Systems that integrate internal Observability data with LLMs
  • Process billions of data points in real time
  • Provide mentorship to early career engineers
  • Design, build, and operate algorithms for Monitoring and Alerting applications

Requirements For Applied Machine Learning Backend Engineer (L5), Monitoring & Alerting

Java
Python
Kafka
  • 6+ years of experience in high-scale, modern tech-driven companies
  • Experience in both developing backend and applying Machine Learning algorithms at scale
  • Proficiency in distributed computing frameworks (Apache Spark, Kafka)
  • Experience with API design and maintenance
  • Proficient in Java (or JVM language) and Python
  • Knowledge of full software lifecycle
  • Exceptional communication and collaboration skills
  • Product mindset with focus on customer needs
  • Experience with Generative AI techniques

Benefits For Applied Machine Learning Backend Engineer (L5), Monitoring & Alerting

Medical Insurance
Mental Health Assistance
401k
Vision Insurance
Dental Insurance
Parental Leave
  • Health Plans
  • Mental Health support
  • 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
  • 35 days annually for paid time off (hourly employees)
  • Flexible time off (salaried employees)

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