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Job Description
📋 Description
- Lead vector similarity search initiatives in Elasticsearch.
- Design and implement new vector search features and improve existing ones.
- Collaborate with a global team to advance vector search capabilities.
- Develop and optimize algorithms and data structures for vector search.
- Participate in community issues and PRs across time zones.
- Contribute idiomatic Java code for Elasticsearch’s core stack.
🎯 Requirements
- Experience with vector similarity, vector databases, and algorithms (HNSW, IVF, etc.).
- Strong Java skills and knowledge of concurrency and standard library.
- Ability to work autonomously and drive projects end-to-end.
- Collaborative mindset with remote/asynchronous teamwork experience.
- Familiarity with Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Excellent communication skills and ability to work across functions.
🎁 Benefits
- Competitive pay and comprehensive benefits across regions.
- Flexible locations and schedules for many roles.
- Health coverage for you and family in many locations.
- Generous vacation, charitable donation matching, and volunteer hours.
- 401k with company match and stock program eligibility.
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