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# Machine Learning Engineer 5 - Ads Signals & Targeting

- **Company:** Netflix, Inc.
- **Location:** Los Angeles, CA, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), C++ (Programming Language), Memory Management, Python (Programming Language), Machine Learning, Metadata, Systems Integration, Privacy Controls, Multithreading, Apache Spark, Data Management, Machine Learning Operations
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-5-ads-signals-targeting-venice-ca--be7db296-987b-40fb-9a60-4fc9b3b31374

## About the Role

Machine Learning, Storytelling, Leading Edge Technology, Metadata, Content Delivery/Distribution, Advertising, Ecosystems, System Integration (SI), Television Advertising, Machine Learning, We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey., * Experience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems.

 * Experience building machine learning models for ads targeting and lookalike expansion.
 * Professional experience in designing and building user and contextual signals and audience targeting features for ad platforms.
 * Proficiency in Java, C++, Python, or Scala with a solid understanding of multi-threading and memory management.
 * Experience in handling data at extremely large volumes with big data tools like Spark.
 * Collaborate with cross-functional stakeholders from the science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale

Nice to haves:

 * Strong understanding of data privacy, governance, and security concepts, including Privacy by Design principles.
 * Experience with ads targeting using machine learning models.
 * Experience working in the CTV space and knowledge of its unique constraints.