Language Engineer II, Amazon Search

Amazon Search, a crucial component of one of the world's largest e-commerce platforms, is seeking a Language Engineer II to join their MIDAS (Metrics, Insights, Data Annotation for Search) team. This role combines linguistic expertise with technical skills to improve search experiences for millions of customers worldwide. The position focuses on creating and managing data annotation workflows that support machine learning models for semantic matching, ranking, and computer vision.

The role offers an opportunity to work at the intersection of linguistics and technology, applying both language expertise and programming skills to solve complex natural language processing challenges. As a Language Engineer II, you'll be responsible for developing annotation guidelines, managing data quality, and collaborating with cross-functional teams including scientists, engineers, and product managers.

The position requires strong technical skills in Python and data processing, combined with a deep understanding of linguistics. You'll work in a fast-paced environment where you'll handle multiple projects and stakeholders while maintaining high standards for data integrity. The role offers competitive compensation ranging from $67,700 to $151,400 based on location and experience, plus comprehensive benefits.

This is an excellent opportunity for someone with both linguistic and technical expertise who wants to make a significant impact on how millions of customers interact with Amazon's search functionality. The role offers exposure to cutting-edge machine learning applications in e-commerce, working with large-scale data sets, and the chance to contribute to one of the world's most sophisticated search systems.

The position is based in Palo Alto, CA, and offers the chance to work with Amazon's industry-leading search technology team. You'll be part of a dynamic environment that values innovation, technical excellence, and customer obsession, while having the opportunity to shape the future of e-commerce search technology.