Machine Learning Engineer 5 - Ads Signals & Targeting

Netflix is hiring a Machine Learning Engineer for its Ads Signals & Targeting team. The role builds machine learning systems for identity resolution and behavioral and contextual audience targeting, delivering relevant ads while upholding member privacy.

Responsibilities:

• Collaborate with cross-functional stakeholders from the science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale

Requirements:

• 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
• 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