Senior Machine Learning Engineer, Search & Index

📋 Description Build and operate production search and indexing systems at billion-vector scale Apply and evaluate embedding models for semantic and multimodal retrieval Build evaluation frameworks for retrieval quality, recall, relevance, and latency Develop backend services and APIs for vector similarity and metadata-filtered search Own search components from design through deployment and production operations Collaborate with ML, Data, and Evaluation teams to integrate search into workflows 🎯 Requirements 7+ years in backend, infrastructure, or ML systems building production systems Experience with vector databases like FAISS, LanceDB, or similar Strong understanding of multimodal embeddings and search quality evaluation Strong coding skills in Python or other systems languages Experience building search services, APIs, and large-scale ingestion pipelines Experience delivering 0-to-1 systems in ambiguous problem spaces 🎁 Benefits Competitive equity package