multi-stage ranking Jobs

The Search algorithms team at Faire is seeking a Senior Applied ML/AI Scientist to contribute to the next generation of their search engine. This role involves owning components end-to-end, from problem framing and modeling to production code and experiment design. You will integrate cutting-edge technologies like LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to deliver personalized product feeds with low latency. The position requires shipping models to live traffic and using A/B tests to validate their effectiveness, while also raising the team's technical bar through design reviews and knowledge sharing.

$211k - $291k