Machine Learning Engineer 5, Ads Signals & Targeting

What you'll do

• Build end-to-end ML model deployment and inference infrastructure for low-latency real-time ad systems.
• Develop machine learning models for ad targeting and lookalike expansion.
• Design and build user and contextual signals for ad platform audience targeting features.
• Process and manage extremely large volumes of data using big data tools like Spark.
• Productionize and deploy machine learning models at scale for the advertising platform.
• Ensure advertiser brand safety and member privacy during the ad serving process.
• Develop high-performance advertising systems to monetize content and drive business impact.

What we're looking for

• Experience in building end-to-end ML model deployment and inference infrastructure 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 handling data at extremely large volumes with big data tools like Spark.
• Ability to collaborate with cross-functional stakeholders to productionize and deploy models at scale.
• Strong understanding of data privacy, governance, and security concepts, including Privacy by Design principles (preferred).
• Experience working in the CTV space and knowledge of its unique constraints (preferred).