Machine Learning Engineer 5 – Ads

Netflix

full-time

Posted on: 10/23/2025

Location Type: Remote

Location: Remote • Washington • 🇺🇸 United States

✨ AI Apply

💰 $100,000 - $720,000 per year

Mid-LevelSenior

JavaPythonScala

About the role

Bridge software engineering and machine learning research by developing efficient, scalable, and maintainable machine learning models and services that meet high QPS and low-latency requirements
Collaborate closely with machine learning researchers to operationalize research and ensure seamless integration of models into production environments
Enhance the performance and scalability of machine learning models to effectively accommodate the increasing demand for advertising and the implementation of novel ad optimization objectives
Collaborate closely with machine learning scientists, infrastructure engineers, and product managers to shape the ML infrastructure for Netflix Ads
Optimize the performance and scalability of machine learning models to support increasing ad demand and the introduction of new ad objectives
Contribute to the ongoing enhancement of company-wide ML infrastructure and tooling, ensuring we remain at the forefront of industry best practices
Stay current with state-of-the-art computing and machine learning technologies
Develop and deploy cutting-edge machine learning and statistical models for ad ranking, pacing and personalization—ensuring the right ad reaches the right audience at the right moment

Proficiency in Java, Python, or Scala
Experience in building end-to-end ML model deployment for real-time systems
Skilled at maintaining production systems, with familiarity in DevOps tools and practices
Strong problem-solving and cross-functional collaboration skills

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

JavaPythonScalamachine learning modelsend-to-end ML model deploymentreal-time systemsad rankingpacingpersonalizationstatistical models

problem-solvingcross-functional collaboration