Senior Machine Learning Engineer, Search & Index

Job description

Job responsibilities

• Build and operate production search and indexing systems at billion-vector scale.
• Apply and evaluate embedding models for semantic and multimodal retrieval, including inference, normalization, versioning, and integration.
• Build evaluation frameworks to measure retrieval quality, recall, relevance, filtering accuracy, latency, freshness, scalability, and cost.
• Develop backend services and APIs for vector similarity and metadata-filtered search.
• Own search components from design and implementation through deployment and production operations.
• Collaborate with ML, Data, and Evaluation teams to integrate search into training, curation, and evaluation workflows.
• Support the growth of other engineers through code reviews, technical guidance, knowledge sharing, and mentoring.