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At Amazon Search, we discover experience that connects millions of customers to the products they seek across our global marketplace. Our team develops sophisticated search solutions that make Amazon's vast product catalog easily accessible to customers worldwide. We're building next-generation search infrastructure that enables seamless expansion into new markets and product categories. Our mission is to ensure every customer enjoys an exceptional search experience from day one, whether they're shopping in an established market or a newly launched region. We develop intelligent, scalable systems that optimize search quality and effectiveness across Amazon's diverse product ecosystem. Our innovations help customers find exactly what they're looking for, while enabling Amazon to rapidly expand its global presence with consistent, high-quality search capabilities. We are seeking a strong applied scientists to join the newly formed Relevance India team. This team’s charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models.
Job Responsibility:
Build machine learning models for Product Search
Develop new ranking features and techniques building upon the latest results from the academic research community
Propose and validate hypothesis to direct our business and product road map
Work with engineers to make low latency model predictions and scale the throughput of the system
Focus on identifying and solving customer problems with simple and elegant solutions
Design, develop, and implement production level code that serves billions of search requests
Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results) and production deployment
Take ownership
Be a leader
Be curious
Requirements:
Experience programming in Java, C++, Python or related language
Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Nice to have:
Experience implementing algorithms using both toolkits and self-developed code
Have publications at top-tier peer-reviewed conferences or journals