Summary

Build and deploy machine learning systems for an AI-native mobile communication application. Work across classification, retrieval, ranking, personalization, and model evaluation; no work arrangement is specified.

Responsibilities

• Build models for classification, ranking, and retrieval
• Optimize classifiers for accuracy, latency, and cost
• Improve search relevance with embeddings and reranking
• Develop personalization models from user behavior
• Create evaluation pipelines, labeled datasets, and metrics
• Maintain machine learning training and inference pipelines
• Monitor production performance and ship model improvements