Remotely
javaelasticsearchdistributed systemsvector searchlucenehnswivfvector similarity
Job Description
📋 Description
- Lead initiatives to advance Elasticsearch vector search capabilities.
- Contribute to speed, relevance, and new search features across the platform.
- Collaborate with a globally distributed team to design, implement, and debug features.
- Influence technical direction and architecture for search relevance.
- Develop and optimize algorithms and data structures for vector search.
- Contribute to cross-functional projects with other engineers.
🎯 Requirements
- Strong Java experience and solid knowledge of standard libraries and concurrency concepts.
- Experience with vector similarity, vector databases or search systems; familiarity with HNSW, IVF
- Hands-on experience with Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Ability to design and own cross-functional initiatives and guide projects end-to-end.
- Proven track record of shipping code in distributed teams with asynchronous collaboration.
- Autonomy in technical design and collaboration across teams.
🎁 Benefits
- Competitive pay with comprehensive benefits across regions.
- Flexible locations and schedules for many roles.
- Parental leave, volunteer time, and generous vacation days.
- Support for accessibility and inclusive culture.
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