Principal Software Engineer - Vector Search - Elasticsearch

Elastic Elastic · Enterprise · Spain · Platform - Data and Compute

Principal Software Engineer role focused on enhancing vector similarity search functionality within Elasticsearch, contributing to a leading vector database offering. This involves designing and implementing new features, improving existing ones, and potentially inventing new algorithms or data structures. The role requires deep expertise in Java and vector similarity techniques.

What you'd actually do

  1. Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
  2. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
  3. Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
  4. Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve this area based on your questions and your instincts.
  5. Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.

Skills

Required

  • vector similarity
  • vector databases
  • HNSW
  • IVF
  • core Java
  • data structures
  • concurrency constructs
  • lambdas
  • autonomy
  • technical design
  • collaboration
  • Elasticsearch
  • Solr
  • PostgreSQL
  • MongoDB
  • Cassandra
  • verbal and written communication skills

Nice to have

  • built things with Elasticsearch
  • open source projects
  • source control workflow
  • continuous integration
  • data storage technology
  • designing, leading and owning cross-functional initiatives

What the JD emphasized

  • industry-leading vector database offering
  • invent a new algorithm or data structure
  • expert on how Elasticsearch implements vector similarity
  • implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval
  • Professional experience with vector similarity and vector databases
  • strong skills in core Java

Other signals

  • vector search
  • vector database
  • search relevance
  • AI Platform