[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All ServiceNow jobs](https://jobs.opennash.com/companies/servicenow/) · [Search jobs](/search/) ServiceNow · Mountain View, CA # Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks Mountain View, CALIFORNIA, United States Full-time Senior individual contributor Data & Analytics Listed on ServiceNow’s official careers site. Posted September 3, 2026. Check that it is still open and apply there. [Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000147349455-senior-staff-machine-learning-engineer-agentic-systems-moveworks) [OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks ## 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. 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 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: US Citizenship or permanent resident status 12+ 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 ## At a glance - Posted by the employer: Sep 3, 2026 - First seen by OpenNash: Oct 10, 2026 - Last checked: Oct 17, 2026 - Listed for: 44 days - Location: Mountain View, CALIFORNIA, United States - Employment type: Full-time[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000147349455-senior-staff-machine-learning-engineer-agentic-systems-moveworks) ## More jobs at ServiceNow ### [Machine Learning Engineer, GAI Search Platform - Moveworks](https://jobs.opennash.com/companies/servicenow/jobs/7ba09a348678959eeaac/) Mountain View, CALIFORNIA, United States ### [Machine Learning Engineer, GAI Search Relevance - Moveworks](https://jobs.opennash.com/companies/servicenow/jobs/3785c78a04eaf6c227ef/) Mountain View, CALIFORNIA, United States ### [Machine Learning Engineering Manager, GAI Search Relevance - Moveworks](https://jobs.opennash.com/companies/servicenow/jobs/22efc099e480dc20b563/) Mountain View, CALIFORNIA, United States ### [Senior Machine Learning Engineer, GAI Search Platform - Moveworks](https://jobs.opennash.com/companies/servicenow/jobs/f6b4bfa446f6f85a5871/) Mountain View, CALIFORNIA, United States ### [Senior Staff Machine Learning Engineer, Agentic Application](https://jobs.opennash.com/companies/servicenow/jobs/14680d423599f30c585d/) Mountain View, CALIFORNIA, United States ## Similar jobs at other companies ### [Staff Software Engineer, On-Device Machine Learning](https://jobs.opennash.com/companies/alphabet/jobs/a163c36c96d6d5b846cf/) Alphabet · Sunnyvale, CA, USA ### [Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW)](https://jobs.opennash.com/companies/qualcomm/jobs/d561df305202050c72d5/) Qualcomm · San Diego, California, United States of America ### [Staff Machine Learning Software Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/1c015546a5addf14b5ac/) Qualcomm · San Diego, California, United States of America ### [AI Machine Learning Engineering Staff](https://jobs.opennash.com/companies/lockheed-martin/jobs/a50fa89c9d061673bf86/) Lockheed Martin · Virtual Three, TX ### [A/AI Machine Learning Engineering Staff - Clearance Required](https://jobs.opennash.com/companies/lockheed-martin/jobs/fee14b837ea19e8438a2/) Lockheed Martin · Huntsville, AL OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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