6 дней назад
Search Engineer (AI)
235 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Search Engineer (AI) (Information Retrieval/Search): Building and operating crawling, indexing, retrieval, ranking, and serving infrastructure that turns the open web into a high-quality search index with an accent on relevance, freshness, latency, reliability, and cost efficiency. Focus on improving lexical, semantic, hybrid, and reranking systems, measuring production search quality, and scaling corpus management for LLM-driven retrieval.
Location: San Francisco, hybrid. US citizens and Green Card holders only; visa sponsorship is not available.
Base salary: $235,000–$260,000+ per year, plus equity.
Company
partners with startups and high-growth companies; the client builds an API and data layer that provides clean, structured, LLM-ready data from the live web.
What you will do
- Own ranking quality and relevance for LLM-driven search and retrieval.
- Build and operate crawling, indexing, retrieval, and search-serving infrastructure.
- Improve search quality through lexical, semantic, hybrid, and reranking approaches.
- Reduce latency and cost per query while maintaining relevance, correctness, and reliability.
- Design, deploy, monitor, troubleshoot, measure, and iterate on production systems end to end.
- Solve freshness, incremental indexing, deduplication, crawl scheduling, and large-scale corpus management challenges.
Requirements
- 3+ years of experience building and operating production search or retrieval systems, with direct ownership of ranking and relevance.
- A demonstrated ranking or reranking change with measurable impact on relevance, recall, conversion, CTR, NDCG, MRR, or a similar metric.
- Information-retrieval expertise across BM25/lexical, semantic/vector, hybrid retrieval, reranking, and retrieval or RAG evaluation.
- Strong backend and distributed-systems skills in Go, Rust, Python, or a comparable language, with end-to-end production ownership.
- Experience improving latency and cost at meaningful query volume while maintaining quality and reliability.
- Familiarity with tools including Lucene, Elasticsearch, OpenSearch, Redis, Kafka, PostgreSQL, Kubernetes, Docker, AWS or GCP, gRPC, or Protobuf.
Nice to have
- Experience working in a fast-growing startup and operating with ambiguity.
Culture & Benefits
- Small team of approximately 40 people with direct visibility into founders and leadership.
- Meaningful equity in a fast-growing, well-funded startup.
- 100% employer-paid medical, dental, and vision insurance, with partial coverage for spouses and children.
- 401(k), pre-tax FSA, commuter benefits, pet insurance, paid parental leave, PTO, wellness stipend, and learning and development budget.
- Paid sabbatical after four years, team offsites twice a year, San Francisco headquarters perks, and a loaner e-bike.
Hiring process
- Intro chat.
- Technical chat and founders chat.
- Paid work trial.
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