Senior Applied Scientist, Featured Merchant Algorithm
Core
Design and maintain machine learning algorithms that select offers and determine the customer experience around the 'Add to Cart' button and offer price display on Amazon.
Role type
Senior Applied Scientist (E-commerce Offer Selection)
Builds
Scalable ML frameworks and offer selection algorithms for the Amazon 'Buy Box' and shopping widgets.
Domain
E-commerce, Machine Learning, Recommendation Systems
Deliverable
production ML models
Required skills
Machine learning model building, neural deep learning methods, Java, C++, Python, data-driven decision making, strategic algorithmic input alignment
Preferred skills
Large scale distributed systems (Hadoop, Spark), modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy)
Technologies
Java, C++, Python, Hadoop, Spark, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
Responsibilities
Build, innovate and maintain key offer selection algorithms; Collaborate with peer scientists and partner organizations to align on strategic algorithmic inputs; Research and deliver innovative techniques for ranking, simulation and evaluation systems; Build and maintain AI, ML and LLM integrations
Seniority
Senior, hands-on IC