Remote Search Optimization Engineer: Scale & Relevance (Quebec City)

23 Aug

Mercor

Quebec City

23 Aug

Mercor

Quebec City

Mercor in Toronto is seeking engineers who have shipped production search systems and are thinking hard about the requirements and optimizations of those systems. You should bring war stories—messy, specific experiences about relevance, retrieval, and the tradeoffs you've made in real systems.
This interview is 25 minutes, conversational with no coding or take-home assignments. We want to hear how you actually think about search quality, evaluation, and the impact of your decisions on real users.

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📌 Remote Search Optimization Engineer: Scale & Relevance (Quebec City)
🏢 Mercor
📍 Quebec City

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About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D [...]