Senior Search Engineer — End-to-End Ranking & Retrieval

Lavendo, Inc.

San Francisco (CA)

In loco

USD 235.000 - 260.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Health insurance (employer-paid)
Dental insurance (employer-paid)
Vision insurance (employer-paid)
401(k) and pre-tax FSA
Parental leave (12 weeks)
Pet insurance
Commuter benefits
Wellness stipend
Learning & development budget

Descrizione del lavoro

Lavendo, Inc. is hiring for a Search Engineer to own ranking quality and relevance for our LLM-driven retrieval product. You will design and build crawling, indexing, and retrieval systems, pushing latency and cost down as volume grows.

You will work with the Head of Search and a small team across crawling, indexing, retrieval, and search serving, navigating constraints like freshness, deduplication, and latency to improve overall search quality.

Competenze

  • 3+ years of production experience building and operating search or retrieval systems

Mansioni

  • Own ranking quality and relevance for LLM-driven retrieval
  • Design and build the crawling, indexing, and retrieval systems
  • Push down latency and cost per query while search volume grows
  • Own services end to end: design, ship, monitor, and iterate in production
  • Work directly with the Head of Search and the rest of the search team on the roadmap

Conoscenze

Search systems
Ranking/re-ranking
End-to-end ownership
Backend programming
Go / Rust / Python

Strumenti

Go
Rust
Python

Descrizione del lavoro

Lavendo, Inc. is hiring for a Search Engineer to own ranking quality and relevance for our LLM-driven retrieval product. You will design and build crawling, indexing, and retrieval systems, pushing latency and cost down as volume grows.

You will work with the Head of Search and a small team across crawling, indexing, retrieval, and search serving, navigating constraints like freshness, deduplication, and latency to improve overall search quality.

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