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Senior Applied Scientist, Featured Merchant Algorithm

Seattle, Washington, United States💼 Full-time🗓 2026-07-08 → 2026-07-31

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

Rewrite
## Responsibilities * Build, innovate and maintain FMA's 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 ## Requirements - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning ## Nice to Have - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. ## Benefits Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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