Amazon Search is seeking a Software Development Engineer to join their Relevance Measurement team, focusing on developing cutting-edge Machine Learning Infrastructure to enhance Search Quality. This role offers an opportunity to impact Amazon's search experience used by hundreds of millions of customers worldwide. You'll work with petabytes of data and large language models to improve search relevance and quality.
The position involves developing ML infrastructure, analyzing vast datasets, and building systems to measure search quality improvements. You'll collaborate with data scientists, product managers, and ML engineers while having significant ownership and mentorship opportunities. The team's mission is to enhance relevance and search quality for Amazon customers through innovative solutions.
This is an excellent opportunity for engineers passionate about machine learning, search technologies, and big data. You'll work with cutting-edge technologies while taking features from conception to production. The role offers exposure to Amazon's massive scale search infrastructure and the chance to impact how millions of customers discover products.
Working at Amazon means joining a team that's pushing the boundaries of search technology and machine learning applications. You'll have access to world-class resources and the opportunity to work on challenging problems that directly impact customer experience. The role combines technical depth with business impact, making it ideal for engineers who want to grow their careers in ML infrastructure and search technology.