Applied Scientist III - Amazon Identity Program, Amazon Identity Program (AIP)
Core
Develop novel approaches to probabilistic identity resolution, graph neural networks, and large scale entity matching to connect billions of identity signals across devices and publishers for Amazon Advertising.
Role type
Senior Applied Scientist (Identity & Graph ML)
Builds
A scalable, privacy-conscious identity graph for the Amazon Advertising Identity Platform (AIP)
Domain
Advertising technology, Identity resolution, Graph Neural Networks
Deliverable
production ML models
Required skills
Probabilistic modeling, Graph Neural Networks (GNNs), Representation learning, Large scale entity matching, Applied machine learning, Java, C++, Python
Preferred skills
Distributed systems (Hadoop, Spark), Modeling tools (TensorFlow, PyTorch, scikit-learn, MxNet), Mentoring
Technologies
Java, C++, Python, TensorFlow, PyTorch, Spark, Hadoop, MxNet, numpy, scipy
Responsibilities
Define scientific direction for identity resolution, design and evaluate new models, partner with engineering to bring research into production, influence technical strategy
Seniority
Senior, hands-on IC with mentorship