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 search engine offering
- Contribute to Elasticsearch full time, building new search features and fixing bugs
- Work with a globally distributed team focused on the vector search capabilities of Elasticsearch
- Be an expert on Elasticsearch 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 search or vector databases, using HNSW, IVF, or other relevant algorithms and libraries at scale
- Solid 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
- Used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra
- Proven track record of using AI to accelerate development, debug complex systems, and optimize code
- Ability to collaborate across functions and teams
- Work autonomously in a distributed team
Conditions
- Distributed company
- Base salary plus stock program
- Company-matched Registered Retirement Savings Plan (RRSP) up to 6% of eligible earnings