Sr. Machine Learning Engineer, Search Relevance

We are looking for a sr. 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 on a mission to make language the universal UI. We give enterprises a conversational interface that works across every system — from Microsoft to Workday to Salesforce. Powered by GPT-class machine learning models, the Moveworks platform learns the unique language of each organization to solve thousands of use cases. Brands like Databricks, Broadcom, DocuSign, and Palo Alto Networks leverage Moveworks’ proprietary enterprise data, out-of-the-box solutions, and intuitive developer tools to bring conversational automation to all aspects of their business.

Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion. We’ve been named to the Forbes AI 50 list for five consecutive years while earning recognition as the winner of the 2023 Edison Awards for AI Optimized Productivity, and as the Best Bot Solution at the 2022 AI Breakthrough Awards.

Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.

Come join one of the most innovative teams on the planet!

What You Will 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.

Compensation Base Range: $120,000 - $249,000

Compensation Structure: Base + Variable + Equity

• Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.

Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.