ServiceNow

Senior Machine Learning Engineer, Agentic Systems - Moveworks

$161K–$274KFull-time · Mountain View, CA
✓ Verified live on the employer's own system · added 16 days ago
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Mid-level · 5+ yrs exp

Requirements

Education: Bachelor's degree or related field

Experience: 5+ years

Skills & tools

Machine LearningData AnalysisEtlPythonC Plus PlusGolangProgrammingCommunications

Benefits — mentioned in this posting

401(k) / retirementEquity / stockFamily / parental leave
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Full job description

Job Description

The Role We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s 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
Qualifications

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 GoLang
  • 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 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.

Company Description

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. Come join us! ServiceNow It 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.

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