ServiceNow · 7 hours ago
Machine Learning Engineering Manager, GAI Search Relevance - Moveworks
Mountain View, CA
Full-time
Onsite
Director/Executive
8+ years expServiceNow is a global market leader in AI-enhanced technology, aiming to improve workplace efficiency. The Machine Learning Engineering Manager will lead a team to enhance the ranking and relevance of AI-powered enterprise search applications and manage the end-to-end development of machine learning models.
Agentic AIBusiness Process Automation (BPA)Cloud ManagementEnterprise SoftwareRobotic Process Automation (RPA)SaaS
Responsibilities
Recruit, hire, and mentor a high-performing team of machine learning engineers
Maintain a “ranking and relevance” mindset in your team, developing a thought leadership on our long-term relevance roadmap
Foster a collaborative and inclusive team culture, promoting knowledge sharing and continuous learning
Set clear goals, provide regular feedback, and promote professional growth and development of team members
Develop and manage project plans, timelines, and budgets for machine learning initiatives
Ensure the successful execution of projects, from ideation and prototyping to production deployment
Collaborate with cross-functional teams to define project requirements and priorities
Drive the technical vision and strategy
Guide the integration and application of large language models (LLMs) and retrieval-augmented generation (RAG) techniques to enable modern, intelligent search experiences
Oversee the research, development, and deployment of machine learning models and algorithms
Stay current with the latest advancements in the field and ensure that our projects leverage cutting-edge technologies
Implement best practices for model development, data pipelines, and model evaluation
Monitor and optimize the performance, scalability, and reliability of machine learning systems
Ensure that our AI solutions meet high standards of accuracy and efficiency
Collaborate with leadership, product managers, customer success staff, and other teams to align machine learning initiatives with business goals
Provide regular updates and reports on project status, challenges, and successes to stakeholders
Communicate, collaborate, and build relationships with partner teams and peer teams to facilitate cross-functional projects
Qualification
Required
Master's degree in Computer Science specializing in Machine Learning or a related field. A Ph.D. is a plus
8+ years of experience in applied machine learning preferably in the ranking/relevance domain, including 3+ years in technical leadership or management roles
Proven technical expertise that has been recognized at Staff Engineer (comparable to Google/Meta L6) or above level
Proven experience managing high-performing teams, including mentoring and supporting Staff-level (I6) or higher engineers, with a strong track record of delivering technically ambitious, production-grade projects
Proficiency in programming languages such as Python, Golang, C++
Excellent problem-solving and analytical skills
Strong communication skills
Knowledge of software engineering best practices and experience with deploying machine learning models in production environments
Company
ServiceNow
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions.
10001+ employees
H1B Sponsorship
ServiceNow has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (910)
2024 (876)
2023 (807)
2022 (840)
2021 (447)
2020 (439)
Funding
Current Stage
Public CompanyTotal Funding
$83.7MKey Investors
Sequoia CapitalJMI Equity
2022-12-09Post Ipo Equity
2012-07-29IPO
2012-03-20Private Equity· $10.98M
Leadership Team
William McDermott
Chairman and CEO
Pat Casey
Chief Technology Officer & EVP of DevOps
Recent News
2026-02-03
The Motley Fool
2026-02-03
The Motley Fool
2026-02-03
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