Machine Learning Engineer 5, Ads Measurement

What you'll do

• Build scalable backend services and data pipelines using Java, Python, or Scala.
• Develop distributed data processing systems for advertising measurement products.
• Productionize machine learning models and operate production ML systems at scale.
• Partner closely with Data Scientists to implement ML-powered measurement solutions.
• Build platforms for Brand Lift, Incrementality, Attribution, and Measurement Insights.
• Ensure privacy-safe and scientifically rigorous measurement of advertising effectiveness.
• Develop unique value propositions to differentiate Netflix in the Connected TV advertising space.

What we're looking for

• Experience building advertising measurement products such as Brand Lift, Conversion lift, attribution measurement, or advertiser A/B testing.
• Experience building and operating production machine learning systems at scale.
• Experience productionizing machine learning models and partnering closely with Data Scientists.
• Strong software engineering skills building scalable backend services and data pipelines.
• Proficiency in Java, Python, or Scala.
• Experience with causal inference, experimentation, or marketing science (preferred).
• Experience with streaming and large-scale data processing such as Spark or Flink (preferred).
• Experience with MLOps, model serving, production ML operations, or building customer-facing analytics platforms (preferred).