Skills & tools

UI UX DesignCustomer SuccessMachine LearningRecordkeepingSales

Benefits — mentioned in this posting

401(k) / retirementEquity / stockFamily / parental leave

Full job description

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.

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

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

For positions in this location, we offer a base pay of $161,300 - $274,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.

We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law.

In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

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