Search Engineer, AI Infrastructure (SF/Toronto)

As a Search Engineer, you will own ranking quality and relevance for an LLM-driven search and retrieval product. This is a role for an engineer whose primary, hands-on discipline is production search quality. You will work directly with the Head of Search and a small team across crawling, indexing, retrieval, and search serving. Your role is to improve search quality while navigating the real constraints of web-scale retrieval: freshness, deduplication, latency, reliability, and cost per query.

Responsibilities

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

Requirements

3+ years of experience building and operating search or retrieval systems in production, with ranking and relevance as your primary, owned discipline; A specific example of a ranking or re-ranking change you personally owned, the search-quality or business metric it moved, and the numerical impact achieved; Hands-on information-retrieval depth across BM25 and lexical retrieval, semantic/vector retrieval, hybrid retrieval, re-ranking, retrieval evaluation, or RAG evaluation; Experience measuring search quality through relevance, recall, conversion, CTR, NDCG, MRR, query satisfaction, or comparable production metrics; End-to-end ownership of search services: you have designed, shipped, monitored, debugged, measured, and iterated on production systems; Strong backend systems programming skills in Go, Rust, Python, or a comparable language; Experience balancing relevance, latency, cost, correctness, and reliability under real production constraints; Comfort working through ambiguity, setting technical direction, and shipping quickly with a build-measure-iterate operating style

Benefits

100% employer-paid medical, dental, and vision (50% for spouse and kids); Employer-paid life, short-term, and long-term disability insurance; 401(k), pre-tax FSA, and commuter benefits; Pet insurance; 15+ days PTO; 12 weeks fully paid parental leave for moms and dads; $100/month wellness stipend; $1,000/year learning and development budget; 3-month paid sabbatical after 4 years; Team offsites twice a year; SF HQ perks and a loaner e-bike for commuting