TL;DR

Senior Software Engineer (AI): Enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features. Focus on improving search relevance and performance.

Location: United States, Greece, Ireland, Poland, Portugal, Spain, Sweden, Switzerland, United Kingdom.

Salary: $133,100—$210,600 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply: $159,900—$252,900 USD.

Company

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people.

What you will do

  • Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
  • Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs.
  • Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
  • Be an expert on how Elasticsearch implements vector similarity in support of search relevance.
  • Work with community members from all over the world on issues and pull requests.
  • Write idiomatic modern Java.

Requirements

  • 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, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
  • Strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
  • Work with a high level of autonomy, and are able to take on projects and guide them from beginning to end.
  • Comfortable developing collaboratively, giving and receiving feedback on code and approaches and APIs.
  • Used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
  • Excellent verbal and written communication skills.

Nice to have

  • Built things with Elasticsearch before.
  • Worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
  • Experience with data storage technology.
  • Experience designing, leading and owning cross-functional initiatives.

Culture & Benefits

  • Competitive pay based on the work you do here and not your previous salary.
  • Health coverage for you and your family in many locations.
  • Ability to craft your calendar with flexible locations and schedules for many roles.
  • Generous number of vacation days each year.
  • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
  • Up to 40 hours each year to use toward volunteer projects you love.
  • Embracing parenthood with a minimum of 16 weeks of parental leave.