{"schemaVersion":"jobsearcher.job.v1","id":"c4477de87f839d3bfe67e1eb","url":"https://jobsearcher.com/jobs/c4477de87f839d3bfe67e1eb","canonicalUrl":"https://jobsearcher.com/jobs/c4477de87f839d3bfe67e1eb","title":"Machine Learning Engineer, Agentic AI Systems","description":"Based in Mountain View, CA and on-site, this role seeks an experienced software engineer with machine learning expertise to broaden Moveworks NLU and agentic AI capabilities, delivering increasingly refined user experiences and advancing Moveworks' generative and conversational AI platform across products.\r\nResponsibilities\r\nApply software engineering, machine learning, and integrated AI system engineering to create lasting value for customers.\r\nTackle challenging tasks in conversational agent domains, including agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (Tree of Thoughts and Graph of Thoughts), fine tunings of LLMs for tool use and enterprise reasoning (with alignment approaches such as RLHF, RLAIF, and DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, grounding, and verifiability.\r\nAdvance Moveworks commitments to responsible AI by expanding infrastructure to ensure model performance across diverse users, conducting red-teaming for safety, and maintaining state-of-the-art data privacy and security in ML practices.\r\nLeverage knowledge of ML fundamentals and LLMs to design new algorithms and architectures, validate them with small-scale experiments, and productionize solutions at scale.\r\nResearch and develop innovative, scalable, and dynamic solutions to difficult problems.\r\nUtilize cutting-edge advances in machine learning and LLMs to enhance products and create engaging user experiences.\r\nDedicate time each week to review, discuss, and potentially build models from the latest ML research and open-source code.\r\nRequirements\r\nCommitment to shipping product improvements with production-quality, fully unit-tested code and rigorously evaluated updates to models, prompts, or other tunable components.\r\nAbility to solve problems end-to-end using machine learning.\r\nSolid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes.\r\nAttention to data quality and meticulous standards for training and evaluation datasets.\r\nPreparedness to work in a Mac development environment, programming in Python and/or Golang.\r\nKnowledge of deep learning architectures and algorithms and experience with leading large language models.\r\nWillingness to operate at a startup pace within a medium-sized company and maintain a high level of ownership.\r\nDrive to ship product improvements with production-grade code.\r\nStrong appetite for continual incremental wins and the ability to complete challenging projects rapidly.\r\nCuriosity about engineering beyond the immediate discipline and an ongoing desire to stay at the forefront of NLU and AI.\r\nTechnologies\r\nPython\r\nGolang\r\nWork Personas\r\nServiceNow operates with flexible work personas that may be categorized as flexible, remote, or in-office, assigned based on the nature of the work and location. Eligibility for a work persona may be determined by measuring the distance between your primary residence and the closest ServiceNow office via a third-party service.\r\nEqual Opportunity Employer\r\nServiceNow 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. Applicants with arrest or conviction records will be considered in accordance with legal requirements.\r\nAccommodations\r\nWe 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 globaltalentss@servicenow.com for assistance.\r\nExport Control Regulations\r\nFor positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may need to obtain export control approval from government authorities for certain individuals. All employment is contingent upon obtaining any export license or other approvals required by relevant export control authorities.\r\nJ-18808-Ljbffr","company":"ServiceNow","rawCompany":"servicenow","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-12T00:40:53.003Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer, Agentic AI Systems","description":"Based in Mountain View, CA and on-site, this role seeks an experienced software engineer with machine learning expertise to broaden Moveworks NLU and agentic AI capabilities, delivering increasingly refined user experiences and advancing Moveworks' generative and conversational AI platform across products.\r\nResponsibilities\r\nApply software engineering, machine learning, and integrated AI system engineering to create lasting value for customers.\r\nTackle challenging tasks in conversational agent domains, including agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (Tree of Thoughts and Graph of Thoughts), fine tunings of LLMs for tool use and enterprise reasoning (with alignment approaches such as RLHF, RLAIF, and DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, grounding, and verifiability.\r\nAdvance Moveworks commitments to responsible AI by expanding infrastructure to ensure model performance across diverse users, conducting red-teaming for safety, and maintaining state-of-the-art data privacy and security in ML practices.\r\nLeverage knowledge of ML fundamentals and LLMs to design new algorithms and architectures, validate them with small-scale experiments, and productionize solutions at scale.\r\nResearch and develop innovative, scalable, and dynamic solutions to difficult problems.\r\nUtilize cutting-edge advances in machine learning and LLMs to enhance products and create engaging user experiences.\r\nDedicate time each week to review, discuss, and potentially build models from the latest ML research and open-source code.\r\nRequirements\r\nCommitment to shipping product improvements with production-quality, fully unit-tested code and rigorously evaluated updates to models, prompts, or other tunable components.\r\nAbility to solve problems end-to-end using machine learning.\r\nSolid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes.\r\nAttention to data quality and meticulous standards for training and evaluation datasets.\r\nPreparedness to work in a Mac development environment, programming in Python and/or Golang.\r\nKnowledge of deep learning architectures and algorithms and experience with leading large language models.\r\nWillingness to operate at a startup pace within a medium-sized company and maintain a high level of ownership.\r\nDrive to ship product improvements with production-grade code.\r\nStrong appetite for continual incremental wins and the ability to complete challenging projects rapidly.\r\nCuriosity about engineering beyond the immediate discipline and an ongoing desire to stay at the forefront of NLU and AI.\r\nTechnologies\r\nPython\r\nGolang\r\nWork Personas\r\nServiceNow operates with flexible work personas that may be categorized as flexible, remote, or in-office, assigned based on the nature of the work and location. Eligibility for a work persona may be determined by measuring the distance between your primary residence and the closest ServiceNow office via a third-party service.\r\nEqual Opportunity Employer\r\nServiceNow 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. Applicants with arrest or conviction records will be considered in accordance with legal requirements.\r\nAccommodations\r\nWe 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 globaltalentss@servicenow.com for assistance.\r\nExport Control Regulations\r\nFor positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may need to obtain export control approval from government authorities for certain individuals. All employment is contingent upon obtaining any export license or other approvals required by relevant export control authorities.\r\nJ-18808-Ljbffr","datePosted":"2026-08-12T00:40:53.003Z","dateModified":"2026-08-12T00:40:53.003Z","hiringOrganization":{"@type":"Organization","name":"ServiceNow","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c4477de87f839d3bfe67e1eb"},"url":"https://jobsearcher.com/jobs/c4477de87f839d3bfe67e1eb"}}