Machine Learning Engineer 5 - Ads Signals & Targeting

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 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.