Senior Machine Learning Engineer for Search Relevance
3 weeks ago
We are seeking an experienced Senior Machine Learning Engineer to join our AEE Science and AI team at Amazon. In this role, you will be responsible for designing, implementing, and optimizing ranking and matching algorithms to enhance search relevance and user satisfaction.
Key Responsibilities- Model Development: Design and implement machine learning models for ranking and matching to improve search accuracy and performance.
- Data Analysis: Analyze large datasets to extract insights, identify trends, and inform model improvements.
- Algorithm Optimization: Continuously evaluate and optimize existing algorithms to improve search accuracy and performance through experimentation and iteration.
- Cross-Functional Collaboration: Work closely with product managers, engineers, and UX researchers to integrate search models into production systems and align with overall product goals.
To be successful in this role, you will need a PhD in computer science, machine learning, engineering, or a related field, and experience programming in Java, C++, Python, or related languages. You should also have a strong background in search technologies and a passion for solving complex problems.
About the TeamThe AEE Science and AI team is focused on advancing customer experience in three key areas: 1) Expansions, which involves building end-to-end Day0 search relevance models for new Amazon marketplaces; 2) Exports, aimed at improving search relevance for cross-border customers; and 3) Emerging Markets Retail Efficiency initiatives.
BenefitsYou will have the opportunity to make a significant impact on our product by driving advancements in search relevance that directly enhance user engagement and outcomes. We offer a competitive salary range of $175,000 - $225,000 per year, depending on location and experience. Additionally, you will receive a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
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