The Lucene Search Engine team designs and develops query serving and indexing components of Amazon product search stack. Our mission-critical service is built with open-source Lucene at its heart.

The service is responsible for matching customer keywords to products in Amazon’s catalog, applies business rules to narrow down the selection and rank selected products using sophisticated algorithms all under a strict latency budget.

Our service is designed to support both lexical and semantic matching using state-of-the-art (SOTA) approximate near neighbor (ANN) search on learned vector representations (embeddings).

As a member of this team you will get a chance to dive deep into search engine internals and improve its lexical and semantic matching capabilities. You will also get a chance to partner with teams building conversational search experience on top of our Search Engine.

Key job responsibilities
- Dive deep into search engine internals to identify opportunities for improving performance and efficiency of Search Engine.
- Collaborate with partner teams to turn feature requests into requirements and work with Senior and Principal engineers to define project roadmap.
- Own the end-to-end delivery on a medium complexity project.
- Contribute to open source Lucene and bring latest advancements in Lucene in house.
- Improve the semantic matching capabilities of Search Engine.
- Design and develop tooling to improve operational efficiency.
- Participate in oncall and maintain a high bar on operational excellence.