Remotely
javaelasticsearchdistributed systemsvector searchlucenehnswivfvector similarity
Job Description
📋 Description
- Lead initiatives within Elasticsearch to enhance vector similarity search and speed.
- Contribute to Elasticsearch features, fix bugs, and design new algorithms or data structures.
- Collaborate with a globally distributed team on vector search capabilities.
- Be the go-to expert on vector similarity for relevance and performance questions.
- Engage with global community members on issues and PRs, sometimes triaging.
🎯 Requirements
- Strong experience in vector similarity on large-scale search platforms.
- Professional experience with vector databases and algorithms (HNSW, IVF, etc.).
- Excellent core Java skills and familiarity with concurrency and data structures.
- Autonomous, capable of driving projects end-to-end in a distributed team.
- Excellent verbal and written communication; collaborative across internet-based teams.
- Experience with storage tech (Elasticsearch, Solr, PostgreSQL, MongoDB, Cassandra).
🎁 Benefits
- Competitive pay aligned with role and market benchmarks.
- Health coverage for you and family in many locations.
- Flexible locations and schedules for many roles.
- Generous vacation days and volunteer time.
- Support for donations and social impact (00 or local equivalent).
- Disclosure of equity in benefit of transparency and fairness.
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