Staff Machine Learning Engineer, Ads Measurement Modeling
Core
Architecting and building advanced machine learning solutions for ads identity modeling, including identity matching, identity graphs, and utility enhancement for ads privacy.
Role type
Staff Machine Learning Engineer (Ads Identity Modeling)
Builds
Ads measurement models serving monetization, experimentation, personalization, delivery, and safety needs
Domain
Advertising technology, Identity resolution, Privacy
Deliverable
production ML models
Required skills
Advanced machine learning techniques, Large-scale data processing, Distributed computing, Identity resolution (cookies, hashed emails, phone numbers, IP addresses), Machine learning frameworks (TensorFlow, PyTorch), Feature engineering, Model training and inference, Technical leadership, Cross-functional collaboration
Preferred skills
None stated
Technologies
TensorFlow, PyTorch, Spark, Kafka, Beam, Flink
Responsibilities
Lead technical strategy and architecture for ads identity modeling solutions, Design and train advanced ML models ensuring accuracy and scalability, Oversee end-to-end ML workflows from data ingestion to deployment, Partner with cross-functional teams to define roadmap, Establish engineering best practices and data governance guidelines, Mentor and coach junior engineers
Seniority
Staff (IC5), hands-on IC with strategic leadership
