Senior Search Engineer, Services Special Projects

What you'll do

• Design and maintain large-scale, low-latency, high-performance search systems.
• Integrate traditional keyword search with vector-based semantic search using embedding models and vector databases.
• Develop NLP pipelines for intent classification, entity extraction, semantic parsing, and query expansion.
• Implement machine learning models and multi-stage reranking algorithms to optimize search precision and recall.
• Build offline and online evaluation metrics, A/B testing frameworks, and continuous improvement strategies.
• Deploy and optimize LLMs, embeddings, and ML models directly in the production query path.
• Translate recent research in information retrieval into scalable production systems.

What we're looking for

• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field.
• 10+ years of experience in Machine Learning, Data Science, or Software Engineering with a focus on search infrastructure and information retrieval.
• Hands-on experience building and deploying large-scale search systems in production.
• Deep understanding of information retrieval, query understanding, multi-stage ranking algorithms, and deep learning architectures like transformers.
• Proficiency in Go, Java, C++, and Python, along with experience in PyTorch and XGBoost.
• Experience with vector search (FAISS), search infrastructure (OpenSearch/Elasticsearch), and data processing pipelines (Spark, Flink).
• Experience deploying and optimizing LLMs, embeddings, and models for production query paths including quantization.
• Master's degree or PhD preferred; published work or patents in search systems or information retrieval are preferred.