Senior Applied Scientist, Brand Protection Machine Learning
Core
Design and execute science strategy for complex brand-protection problems using multi-modal and LLM-based approaches to identify and prevent abuse and counterfeit activity on Amazon's marketplace.
Role type
Senior Applied Scientist (Brand Protection)
Builds
High-performance AI systems for marketplace integrity
Domain
E-commerce / Brand Protection / Machine Learning
Deliverable
production ML models
Required skills
PhD in quantitative field, 3+ years building ML models for business applications, experience with speech recognition/NLP, neural deep learning, Java/C++/Python programming, applied research experience
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large scale distributed systems (Hadoop, Spark)
Technologies
LLMs, Computer Vision, Multi-modality models, Java, C++, Python, TensorFlow, PyTorch (implied), Spark, Hadoop
Responsibilities
Design and execute science strategy for brand-protection problems, collaborate with product and engineering to translate challenges into ML experiments, analyze large volumes of structured and unstructured data, mentor junior scientists, publish research findings in top-tier journals
Seniority
Senior, hands-on IC with mentorship responsibilities