Data Scientist - Semantic & Hybrid Search (Secret, Remote)

Athari

Lexington (VA)

Hybrid

USD 103,000 - 138,000

Full time

14 days+
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Job summary

Athari is seeking an experienced search engineer to design and implement enterprise-scale Solr/Lucene solutions in Lexington, MA. You will develop semantic and hybrid search capabilities, optimize ranking, and build data pipelines for vector-enabled search.

Requirements include 5+ years with Solr/Lucene, vector embeddings experience, and an active SECRET clearance. The role supports hybrid/remote/onsite work arrangements and involves cross-functional collaboration.

Qualifications

  • 5+ years hands-on experience with Apache Solr or Lucene in production environments.
  • Strong relevancy engineering skills: query parsing, boosting, function queries, and tuning.
  • Experience with vector embeddings for semantic search and hybrid search systems.
  • Familiarity with search relevance metrics (NDCG, MRR, precision/recall).
  • Clearance: active SECRET level required.

Responsibilities

  • Design, implement, and maintain enterprise-scale search solutions using Apache Solr.
  • Develop semantic search capabilities with vector embeddings and neural search models.
  • Build indexers and pipelines supporting vector embeddings alongside traditional fields.
  • Tune ANN algorithms for efficient similarity search at scale.
  • Conduct relevancy analysis with automated metrics and manual evaluation.
  • Collaborate with product, engineering, and data teams to define search requirements.

Skills

Solr
Lucene
Vector embeddings
Hybrid search
Query parsing
Relevancy tuning
NDCG
MRR
Python
Java
SQL

Education

Bachelor's Degree

Tools

Apache Solr
Lucene
Data pipelines

Job description

Athari is seeking an experienced search engineer to design and implement enterprise-scale Solr/Lucene solutions in Lexington, MA. You will develop semantic and hybrid search capabilities, optimize ranking, and build data pipelines for vector-enabled search.

Requirements include 5+ years with Solr/Lucene, vector embeddings experience, and an active SECRET clearance. The role supports hybrid/remote/onsite work arrangements and involves cross-functional collaboration.

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