We are looking for a 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.

We’re building a team that indexes on moving fast, solving challenging product/engineering problems and providing value to our customers. To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions. 

Who we are:

Moveworks is redefining how companies support their employees with an AI platform that resolves their problems at work — instantly and autonomously. Included on the prestigious Forbes AI 50 list and named a leader in The Forrester New Wave, Moveworks uses advanced natural language understanding (NLU) to resolve support issues, straight on collaboration hubs like Slack and Microsoft Teams. 

We're doing this for IT today, and for the entire enterprise in the near future. This is a unique chance to join the team at an early stage as a key player in our growth strategy. If that sounds like fun, we can’t wait to start this journey together.

What you’ll do:

• 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.

What you bring to the table:

• 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.

Nice to have:

• Experience in Golang.