About the company
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. The Elastic Search AI Platform is used by more than 50% of the Fortune 500.
Responsibilities
- 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, all while making the code easier to understand.
- 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
- 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 conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
- High level of autonomy, able to take on projects and guide them from beginning to end.
- Comfortable developing collaboratively.
- Used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Excellent verbal and written communication skills.
- Proven track record of using AI to accelerate development, debug complex systems, and optimize code.
- Ability to collaborate across functions and teams.
Conditions
- Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
- The typical starting salary range for this role is: €73.300 — €115.900 EUR.