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 of Elasticsearch
- 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
- Implemented novel techniques in vector similarity on a search platform with a large user base or progressed academic research in vector similarity information retrieval
- Professional experience with vector similarity and vector databases, using HNSW, IVF, or other relevant algorithms and libraries at scale
- Strong skills in core Java, standard library of data structures and concurrency constructs, lambdas
- High level of autonomy, able to guide projects from beginning to end
- Comfortable developing collaboratively with code review
- 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
- Base salary only, no variable compensation component
- Salary range not specified in posting