Vector Search Engineering Lead

Elastic; Portugal; Presencial; EUR 67 000 - 106 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health coverage

Flexible locations and schedules

Vacation days

Donation matching

Volunteer hours

Parental leave

Resumo da oferta

Elastic is seeking a Principal Software Engineer to reinforce the Elasticsearch vector search team. You will design and implement advanced vector similarity features, improving speed and relevance for a globally distributed user base.

Expect collaboration across continents, independent decision-making, and deep involvement in code development and architecture. You will write high-quality Java, drive complex engineering decisions, and contribute to open-source style collaboration while delivering

Qualificações

• Experience with vector similarity on large-scale search platforms.
• Proficient in vector databases and related algorithms (HNSW, IVF, etc.).
• Strong Java skills and knowledge of Java standard library.

Responsabilidades

• Lead initiatives to build an industry-leading vector database offering.
• Contribute to Elasticsearch by building new search features and fixing bugs.
• Collaborate with a globally distributed team focused on vector search capabilities.
• Be the go-to expert on vector similarity implementation for search relevance.
• Engage with community members on issues and pull requests.
• Write idiomatic modern Java across codebases.

Conhecimentos

Vector similarity

Java

Open source

Distributed teamwork

Algorithms

Ferramentas

Elasticsearch

Lucene

HNSW/IVF

Descrição da oferta de emprego

Elastic is seeking a Principal Software Engineer to reinforce the Elasticsearch vector search team. You will design and implement advanced vector similarity features, improving speed and relevance for a globally distributed user base.

Expect collaboration across continents, independent decision-making, and deep involvement in code development and architecture. You will write high-quality Java, drive complex engineering decisions, and contribute to open-source style collaboration while delivering