Remotely
javapostgresqlelasticsearchvector databaselucenehnswivfvector similarity
Job Description
📋 Description
- Lead initiatives within Elasticsearch to produce a leading vector database offering with speed and
- Contribute to Elasticsearch full-time, build new search features and fix bugs, possibly invent new
- Work with a globally distributed team focused on vector search capabilities of Elasticsearch.
- Be an expert on vector similarity in Elasticsearch to support search relevance and guide
- Collaborate with community members on issues and pull requests, sometimes triaging and handing off
- Write idiomatic modern Java; Elasticsearch is largely Java.
🎯 Requirements
- Experience with vector similarity techniques on large-scale search platforms or academic research
- Professional experience with vector similarity and vector databases using algorithms like HNSW or
- Strong core Java skills and familiarity with standard data structures, concurrency, and lambdas.
- Ability to work autonomously from inception to completion, including technical design and
- Strong collaboration skills; comfortable asynchronous, distributed collaboration and communication.
- Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or
🎁 Benefits
- Competitive pay based on work performed; no variable compensation component.
- Health coverage for you and your family in many locations.
- Flexible locations and schedules for many roles.
- Generous vacation days each year.
- Donations matching up to 2000 (or local currency equivalent) to financial causes.
- Up to 40 hours per year for volunteer projects.
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