Staff Machine Learning Engineer
Core
Define long-term direction and drive architecture evolution for advanced machine learning solutions in ads identity modeling, serving critical business needs for monetization and consumer experience.
Role type
Staff Machine Learning Engineer (Ads Identity Modeling)
Builds
Advanced ML solutions for Identity Matching, Identity Graph, Utility Enhancement for Ads Privacy, and Modeled Conversion within the Ads Measurement stack.
Domain
Advertising technology, Identity resolution, Large-scale data processing
Deliverable
production ML models
Required skills
Architecting ML-driven systems at scale, Identity resolution (cookies, hashed emails, phone numbers, IP addresses, user agents), Machine learning frameworks (TensorFlow, PyTorch), Large-scale data processing and distributed computing (Spark, Kafka, Beam, Flink), Technical leadership, Cross-functional collaboration
Preferred skills
SOTA ML technology innovation, Engineering quality enforcement, Best practice establishment
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 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
