Remotely
javapostgresqlelasticsearchmongodblucenehnswivfvector similarity
Job Description
📋 Description
- Lead initiatives within Elasticsearch to produce an industry-leading vector database offering with
- Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs.
- Work with a globally distributed team focused on vector search capabilities of Elasticsearch.
- Be an expert on vector similarity in support of search relevance; drive improvements.
- Collaborate with community members worldwide on issues and pull requests.
- Write idiomatic modern Java; Elasticsearch is 99.8% Java.
🎯 Requirements
- Experience with vector similarity on large-scale search platforms or related academic work.
- Professional experience with vector similarity algorithms (e.g., HNSW, IVF) used at scale.
- Strong core Java skills and knowledge of data structures, concurrency, and lambdas.
- Autonomous work style with ability to drive projects from design to delivery.
- Collaborative, with ability to work across distributed teams and asynchronous communication.
- Experience with data storage tech (Elasticsearch, Solr, PostgreSQL, MongoDB, Cassandra).
🎁 Benefits
- Health coverage for you and your family where available.
- Flexible locations and schedules for many roles.
- Generous vacation days each year.
- Volunteer time and charitable matching programs.
- Support for parental leave and work-life balance.
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