• First-hand experience in traditional information retrieval techniques, or machine learning based ranking models
• Capable of deriving insights from query logs analysis and identifying areas of improvement for search quality
• Background in text processing, information retrieval, natural language understanding, or machine learning

Desirable

• We are looking for a Senior Search Relevance Engineer to work with a team to improve a search based question answering platform
• At Moveworks, we build search technology to answer enterprise users’ tech questions instantly, by combining modern information retrieval methodology with the latest advancement in natural language understanding
• Our core Search product value is achieved through the capability of accurately retrieving, matching and ranking text snippets extracted from heterogeneous knowledge sources, as direct answers to users’ requests
• You will play a critical role in boosting answer quality by meeting the challenges such as lexical gap, semantic text understanding, and data sparsity
• To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions
• Craft new ranking features and optimizing existing ones to enhance relevance metrics
• Develop algorithm framework to support diversified ranking features
• Design platform and tooling to enable parallel ranking experiments
• Develop metrics to evaluate ranking performance