Senior Search Engineer: Geo, Embeddings & Scalable Ranking

amo; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Health care

Generous vacation

Office in central Paris

Résumé du poste

amo in Paris is seeking a senior search engineer to build and optimize production search systems across multiple entity types. You will tackle geospatial indexing, query planning, retrieval, and ranking while designing metrics and running offline evaluations to improve search quality.

You will collaborate with backend and product teams to ship improvements, focusing on latency, relevance, and scalable architectures in a fast-paced environment.

Qualifications

• Senior-level experience building production search systems.
• Strong understanding of indexing, query planning, retrieval, and ranking.
• Experience with geospatial search.
• Experience with search quality metrics, experimentation, and feedback loops.
• Experience evaluating, tuning, extending, or building search/indexing systems beyond basic API usage.
• Strong backend engineering fundamentals.
• Ability to reason about latency, relevance, correctness, and scale.

Responsabilités

• Build and improve search across multiple entity types.
• Work on geospatial search, indexing, query planning, retrieval, and ranking.
• Design metrics and feedback loops for search quality.
• Run offline evaluations and production experiments.
• Tune results using relevance, popularity, personalization, and contextual signals.
• Explore semantic or embedding-based search where useful.
• Work closely with backend and product teams to ship search improvements.

Connaissances

Search systems

Backend engineering

Latency & scale

Indexing & ranking

Geospatial search

Quality metrics

Experimentation

System design

Outils

Rust

Description du poste

amo in Paris is seeking a senior search engineer to build and optimize production search systems across multiple entity types. You will tackle geospatial indexing, query planning, retrieval, and ranking while designing metrics and running offline evaluations to improve search quality.

You will collaborate with backend and product teams to ship improvements, focusing on latency, relevance, and scalable architectures in a fast-paced environment.