Senior Machine Learning Engineer, Agentic Systems - Moveworks

About Moveworks and ServiceNow

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce. The platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by advanced LLMs, proprietary models, and a sophisticated Agentic AI platform, Moveworks is transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt.

Moveworks is trusted by over 5.5 million employees at more than 350 of the world's largest companies, including 10% of the Fortune 500. The company has been recognized on the Forbes Cloud 100 and AI 50 lists, named one of Fast Company's 2025 Most Innovative Companies and Inc's Best in Business (Best in Innovation category), Microsoft's 2025 Partner of the Year, and received the AI Breakthrough Award in 2024.

In December 2025, Moveworks was acquired by ServiceNow. By combining ServiceNow's leading workflow automation with Moveworks' Reasoning Engine and natural language capabilities, the combined platform delivers the AI platform for every person and every workflow.

ServiceNow is a global market leader bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. The intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

The Role

We are looking for a Machine Learning Engineer to help build cutting-edge ML infrastructure for building and serving LLMs at Moveworks. This role will be critical in building, optimizing, and scaling end-to-end machine learning systems.

The ML infra team covers a variety of responsibilities including:

• Distributed training and inference pipeline for large language models (LLM)
• Model evaluation and monitoring framework
• LLM latency optimization

These frameworks serve as a strong foundation for hundreds of ML and NLP models in production serving hundreds of millions of enterprise employees. The team is solving many challenges on scalability of services as well as optimization of core algorithms.

You will work closely with the machine learning team, data infrastructure team, and every core skill. Your work will impact the way customers experience AI and is critical to the long-term scalability of the core AI product and ultimately the company.

Responsibilities

• Design, build, and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models
• Build abstractions to automate various steps in different ML workflows
• Collaborate with cross-functional teams of engineers, data analytics, machine learning experts, and product to build new features
• Leverage your experience to drive best practices in ML and data engineering

Requirements

• Experience: 5+ years of industry experience in Machine Learning, Infrastructure, or related fields
• Deep Learning Frameworks: Experience with deep learning frameworks such as PyTorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM
• ML Systems: Experience with building and scaling end-to-end machine learning systems
• Microservices and ETL: Experience building scalable microservices and ETL pipelines
• Programming Languages: Expertise in Python and experience with performant languages such as C++ or GoLang
• Education: Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field
• Research: A love of research publications in the machine learning and software engineering communities
• Communication: Effective communicator with experience collaborating cross-functionally with other teams

Compensation and Benefits

Base Salary Range: $161,300–$274,200

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. Compensation is subject to change based on work location.

Additional benefits include:

• Equity (when applicable)
• Variable/incentive compensation
• Health plans, including flexible spending accounts
• 401(k) Plan with company match
• ESPP
• Matching donations
• Flexible time away plan
• Family leave programs

Work Arrangement

Work Persona: Required in Office

ServiceNow approaches distributed work with flexibility and trust. Work personas are categories assigned to employees depending on the nature of their work and assigned work location. ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Employment Details

Employee Type: Regular

Region: AMS - North America and Canada

Equal Opportunity and Accommodations

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. All qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.