Amazon Search is at the forefront of creating powerful, customer-focused search and advertising solutions that serve millions of customers worldwide. As a Software Development Engineer on the Search Relevance team, you'll be instrumental in building data infrastructure for deep learning models at Amazon's massive scale. This role combines machine learning, distributed systems, and search technology to improve the shopping experience for hundreds of millions of customers.
You'll work with cutting-edge AWS technologies including EC2, S3, EMR, and Sagemaker, while collaborating with a diverse team of systems engineers, ML scientists, and data analysts. The position offers unique challenges in designing, testing, and deploying relevance deep-learned models at unprecedented scale.
This is an opportunity to make a significant impact on Amazon's search infrastructure, working backwards from customer problems to implement elegant, scalable solutions. You'll be part of a highly talented team solving interesting problems in a collaborative environment, with access to Amazon's vast technical resources.
The role offers competitive compensation including a base salary range of $129,300 to $223,600 depending on location, plus equity, sign-on payments, and comprehensive benefits. You'll have the chance to grow professionally while working on problems that directly affect how millions of customers discover products on Amazon.
If you're passionate about large-scale systems, machine learning, and creating customer-focused solutions, this role offers the perfect blend of technical challenges and real-world impact. Join us in shaping the future of e-commerce search technology while leveraging the resources of one of the world's leading technology companies.