Senior Machine Learning Engineer, Agentic Systems - Moveworks job opportunity at ServiceNow.

Home Jobs In United States Of America Tag: Agentic Systems - Moveworks Senior Machine Learning Engineer, Agentic Systems - Moveworks position at ServiceNow


Date2026-04-21T18:01:57.703Z bot
ServiceNow Senior Machine Learning Engineer, Agentic Systems - Moveworks
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Pattern: Full-time
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Agentic Systems - Moveworks

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loacation 1400 Terra Bella Avenue, Mountain View, CALIFORNIA, United States Of America
loacation 1400 Terra Bel..........United States Of America
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Job DescriptionThe RoleWe 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 workflowsCollaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new featuresLeverage your experience to drive best practices in ML and data engineering

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