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Browse Open JobsMachine Learning Engineer, Sponsored Products Off-Search Sourcing and Relevance - New York
Summary by AIEngineer.careers
Machine Learning Engineer, Sponsored Products Off-Search Sourcing and Relevance - New York is a Machine Learning Engineer role (full-time). with Amazon.com Services LLC. in NEW YORK, US. Compensation shown: $158K–$214K. Imported listing (source: educativ.net). Apply on the employer's site (educativ.net).
Imported listing (source: educativ.net) · Apply on educativ.net
NEW YORK · US
$158K–$214K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from educativ.net
Amazon is hiring a Machine Learning Engineer for the Sponsored Products Off-Search Sourcing and Relevance team. You will build and operate ML models, data pipelines, and low-latency ad serving systems that power personalized ads across non-Search surfaces at Amazon scale. Collaborate with product managers and scientists to run A/B experiments and drive measurable customer impact.
Responsibilities
- Design, build, and operate ML infrastructure and data processing pipelines for ad relevance and sourcing at massive scale
- Develop and optimize machine learning models incorporating deep product and shopper understanding
- Architect and build ad serving systems with high volume, low latency, and strict availability requirements
- Integrate ML solutions with large-scale distributed systems for click-through prediction and ad auction
- Measure impact and customer response through rapid A/B experimentation
- Collaborate with Product Managers and Scientists to translate complex business problems into scalable ML-driven solutions
Requirements
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) experience
Amazon.com Services LLC
Seattle · US · 956+ employees
Amazon.com Services LLC is an Amazon operating entity associated with e-commerce and fulfillment services. Its broader Amazon operations span online retail, cloud computing, digital services, advertising, logistics, and customer support.
