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