What You Will Do
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 instantly answer enterprise users’ tech questions by combining modern information retrieval methodology with the latest advancements in natural language understanding. The core value of our Search product is achieved through accurately retrieving, matching, and ranking text snippets extracted from various knowledge sources as direct answers to users’ requests. You will play a critical role in enhancing answer quality by addressing challenges such as the lexical gap, semantic text understanding, and data sparsity.
We are assembling a team that focuses on moving fast, solving challenging product/engineering problems, and delivering value to our customers. To succeed, you will collaborate with product, user experience, customer success, and other engineering teams to identify, define, and implement elegant solutions.
- Craft new ranking features and optimize existing ones to improve relevance metrics
- Develop an algorithmic framework to support diverse ranking features
- Design a platform and tools to facilitate parallel ranking experiments
- Create metrics to assess ranking performance
What You Bring To The Table
- Hands-on experience in traditional information retrieval techniques or machine learning-based ranking models
- Ability to derive insights from query log analysis and identify areas for search quality enhancement
- Background in text processing, information retrieval, natural language understanding, or machine learning
Nice to Have
- Proficiency in Golang
Compensation Range: $120,000 - $249,000
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