Senior Machine Learning Engineer, GAI Search Relevance - Moveworks

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Senior Machine Learning Engineer, GAI Search Relevance - MoveworksFull-timeEmployee Type: RegularRegion: AMS - North America and CanadaWork Persona: Required in OfficeCompany DescriptionIt all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.Job Description What You Will DoWe 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 metricsDevelop algorithm framework to support diversified ranking featuresDesign platform and tooling to enable parallel ranking experimentsDevelop metrics to evaluate ranking performance QualificationsWhat You Bring To The TableFirst-hand experience in traditional information retrieval techniques, or machine learning based ranking modelsCapable of deriving insights from query logs analysis and identifying areas of improvement for search qualityBackground in text processing, information retrieval, natural language understanding, or machine learningNice to HaveExperience in Golang$ 161,300----$ 274,200 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. Additional InformationWork PersonasWe approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.Equal Opportunity EmployerServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex,...