AI Query Intent Classification Engineer

About the role

Responsibilities

• Redesign multi-label query intent classifier handling type, domain, and action intent dimensions
• Implement few-shot intent adaptation for client-specific query taxonomy customization
• Build evaluation framework connecting intent classification accuracy to search relevance outcomes
• Develop intent-aware retrieval routing directing queries to appropriate index shards
• Create intent distribution monitoring detecting when new query types emerge in production
• Fine-tune base intent models on client query logs with privacy-preserving aggregation

Requirements

• 3+ years in NLP engineering with text classification or search relevance experience
• Strong Python and PyTorch skills with HuggingFace model fine-tuning experience
• Understanding of information retrieval and search quality evaluation
• Experience with few-shot or zero-shot learning approaches for low-resource classification
• Ability to design evaluation frameworks that measure real user outcome impact

Benefits

• Fully remote with flexible schedule
• Health and dental insurance
• $3,000 annual professional development budget
• 401(k) with match
• Equity options

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