Software Development Engineer, Amazon Search Relevance Measurement

We are seeking an exceptional Software Development Engineer to join our Relevance Measurement team, focused on developing innovative Machine Learning Infrastructure and applications to enhance Search Quality at Amazon. In this pivotal role, you will have the opportunity to make a significant impact on the design, architecture, and development of Amazon's Search Measurement systems, paving the way for the Search business.

Key responsibilities include:

1. Developing Machine Learning Infrastructure and applications utilizing large language models to enhance Search Quality.
2. Analyzing petabytes of data to enable Amazon Search to measure customer success metrics and identify improvement opportunities.
3. Contributing to the Search Defects process, providing training data for defect classifiers, and enabling matching and ranking experimenters to build, evaluate, and measure the overall defect experience for Amazon customers.
4. Designing and implementing robust, scalable, and efficient systems to measure the impact of Search Quality improvements on customer satisfaction and business metrics.
5. Collaborating with cross-functional teams, including data scientists, product managers, and machine learning engineers, to drive innovation and continuous improvement in Search Quality.

You will have significant authority and ownership, supported by strong mentors. You'll work on software development using cutting-edge big data technologies, taking products and features from conception to production. You'll collaborate closely with a stellar team of engineers, applied scientists, business intelligence engineers, and product managers to ensure Amazon's data is a powerful and innovative business advantage.

Join our team and contribute to the continuous enhancement of Amazon's Search experience, leveraging cutting-edge Machine Learning Infrastructure to deliver exceptional value to our customers worldwide.