Software Development Engineer II, Search Science and Data Infrastructure

Amazon Search is at the forefront of creating customer-focused product search solutions and technologies that power one of the world's largest e-commerce platforms. The Search Science Data Infrastructure team plays a crucial role in delivering high-quality ML model training data features and providing seamless access to ML artifacts through a federated Feature Store infrastructure.

This role offers an exciting opportunity to work on big-data platforms that provide ML training data for Amazon search ranking, matching quality, and search economics. The platform powers critical live-site features including search suggestions, query understanding, spelling, search result ranking, and personalization. The impact of this work extends beyond the immediate team, as over 350 teams across Amazon consume these datasets to power their analytics and behavior models.

Located in downtown Palo Alto, right across from the Caltrain station, the position offers an ideal work environment with easy access to numerous shops and restaurants. As a Software Development Engineer II, you'll be at the intersection of machine learning, big data, and distributed systems, building scalable infrastructure that processes massive amounts of data to enable data-driven decision making across the organization.

The role combines technical leadership with hands-on development, requiring expertise in performance optimization, distributed systems, and engineering best practices. You'll work with cutting-edge technologies and AWS AI services while collaborating with teams across Amazon to improve product search capabilities globally. This position offers competitive compensation ranging from $129,300 to $223,600 based on location, plus equity and comprehensive benefits.

This is an excellent opportunity for engineers passionate about large-scale systems, machine learning, and data infrastructure who want to make a significant impact on how millions of customers discover products on Amazon. The role offers both technical challenges and growth opportunities while working with some of the most advanced search and ML systems in the industry.