Software Dev Engineer II, Search Science Data Infra

The Amazon Search team builds the search engine that powers Amazon's worldwide shopping experience, connecting customers to products and services they seek. The Search Science Data Infrastructure team is crucial in delivering high-quality ML model training data and managing Federated Data Lake infrastructure for ML artifacts access.

As a Software Development Engineer II, you'll work on:

• Designing and developing big data and machine learning services that form the foundation of search R&D processes
• Supporting science, product development, and production of the world's largest product search engine
• Building high-quality, architecturally sound systems aligned with business needs and Amazon's global scale
• Focusing on operational excellence, system performance, security, and quality improvements
• Managing large-scale distributed systems and implementing engineering best practices

The role offers the opportunity to work on challenging problems while building systems that handle Amazon's massive scale. The platform provides ML training data for Amazon search ranking, matching quality, search economics, and powers various live-site features including search suggestions, query understanding, spelling, search result ranking, and personalization. The impact is significant as more than 350 teams across Amazon consume these datasets.

The position offers competitive compensation ranging from $129,300 to $223,600 per year based on geographic location, plus equity and comprehensive benefits including medical, financial, and other benefits. This is an excellent opportunity for someone passionate about big data, machine learning, and building scalable systems that impact millions of customers.