Senior Machine Learning Engineer, Agentic Systems - Moveworks

ServiceNow; Mountain View (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

A leading tech company is seeking a Senior Machine Learning Engineer in Mountain View, California. This role involves designing and optimizing machine learning infrastructure. You will collaborate with various teams and ensure the scalability of ML systems. The ideal candidate has over 5 years of industry experience, with expertise in Python, deep learning frameworks like PyTorch, and experience in building end-to-end systems. Join our team to play a critical role in AI transformation and drive best practices in machine learning.

Qualifications

• 5+ years of industry experience in Machine Learning or related fields.
• Experience with building and scaling end-to-end machine learning systems.
• Expertise in Python and experience with performant languages such as C++ or Go.

Responsibilities

• Design, build, and optimize scalable machine learning infrastructure.
• Collaborate with cross-functional teams to build new features.
• Drive best practices in ML and data engineering.

Skills

Machine Learning

Deep Learning Frameworks

Python

C++

Go

Education

Bachelor's in Computer Science, Engineering, or Mathematics

Tools

PyTorch

Huggingface

TensorRT-LLM

Job description

Overview

Senior Machine Learning Engineer, Agentic Systems - Moveworks. Full-time; Employee Type: Regular; Region: AMS - North America and Canada; Work Persona: Required in Office.

Who we are

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce.

Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we\'re 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, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft’s 2025 Partner of the Year and in 2024, received the AI Breakthrough Award.

In December 2025, Moveworks was acquired by ServiceNow, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining ServiceNow’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work.

By joining our team, you’ll be at the forefront of the AI transformation, backed by the global scale of ServiceNow and the agility of a high-growth company. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business.

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, etc. These frameworks serve as a strong foundation for our hundreds of ML and NLP models in production serving hundreds of millions of enterprise employees. We are solving many challenges on scalability of services as well as optimization of core algorithms.

In this role you will work closely with our machine learning team, data infrastructure team and every core skill. Above all, your work will impact the way our customers experience AI. Put another way, this role is absolutely critical to the long term scalability of our core AI product and ultimately the company. You will be responsible for building and productionizing ML infrastructure that runs state of the art models. If you are looking for a high-impact, fast-moving role to take your work to the next level, we should have a conversation.

What you get to do in this role

• 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

To be successful in this role you have

• 5+ years of industry experience in Machine Learning, Infrastructure or related fields
• Experience with deep learning framework such as PyTorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
• Experience with building and scaling end-to-end machine learning systems
• Experience building scalable micro services and ETL pipelines
• Expertise in Python and experience with performant language such as C++ or Go
• Bachelor\'s in Computer Science, Computer Engineering, Mathematics, or equivalent field.
• A love of research publications in the machine learning and software engineering communities
• Effective communicator with experience collaborating cross-functionally with other teams

We 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. 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 Employer

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.

Accommodations

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 [e-mail] 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.