Sr. Applied Scientist, Amazon Personalization - Customer 360
Core
Lead research direction for a new AI system providing persistent, compounding memory, defining the scientific roadmap and translating ambiguous problems into ML formulations.
Role type
Principal Applied Scientist (Research & Strategy)
Builds
End-to-end AI systems for knowledge acquisition, retrieval, and reasoning at organizational scale.
Domain
Artificial Intelligence / Machine Learning / Knowledge Systems
Deliverable
production ML models
Required skills
Applied research, machine learning model building, neural deep learning, Java/C++/Python programming
Preferred skills
Large scale distributed systems, modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy)
Responsibilities
Define scientific roadmap for knowledge acquisition and retrieval; Lead research on AI learning from experience; Design evaluation frameworks for new quality metrics; Own end-to-end research from formulation to production impact; Mentor Applied Scientists; Partner with engineering on architecture decisions; Drive technical decisions on model architecture and training; Publish at top-tier venues.
Seniority
Senior, hands-on IC with mentorship responsibilities