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
- Contribute to Elasticsearch full time, building new search features and fixing bugs
- Work with a globally distributed team focused on vector search capabilities
- Be an expert on how Elasticsearch implements vector similarity in support of search relevance
- Work with community members on issues and pull requests
- Write idiomatic modern Java
Requirements
- Professional experience with vector similarity and vector databases, using HNSW, IVF, or other relevant algorithms and libraries at scale
- Strong skills in core Java and standard library of data structures and concurrency constructs
- High level of autonomy, able to guide projects from beginning to end
- Comfortable developing collaboratively, giving and receiving feedback on code and APIs
- Experience with 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 in the form of base salary, no variable compensation component
- Typical starting salary range: €102,700 — €162,500 EUR