ServiceNow

<h3>Company Description</h3>It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.Join us to put AI to work for people. <h3>Job Description</h3>Role summary: As our Senior Data Analytics Manager, you'll bridge paid media performance and business outcomes, partnering closely with marketing leadership to drive smarter budget allocation and buying group engagement. You'll own the measurement strategy for paid media campaigns, answering critical questions: How do we allocate budget across channels to maximize pipeline impact? How do we measure and optimize buying group engagement? What content and tactics drive results? You'll translate complex data into clear, actionable recommendations that shape channel strategy, audience targeting, and investment decisions. You'll proactively surface measurement gaps and opportunities, propose solutions, and establish the frameworks and standards that enable everyone to move faster and smarter—acting as a trusted advisor to leadership while balancing optimization with the strategic imperative of reaching decision-makers at scale. What you’ll do:Own the measurement strategy &amp; campaign tracking:<ul><li>Own the end-to-end measurement strategy for paid media campaign performance and buying group engagement across multiple concurrent programs; drive decisions that impact budget allocation, channel mix, and audience targeting </li></ul><ul><li>Define and standardize KPIs that connect paid media activity to pipeline and buying group progression; establish measurement frameworks and govern taxonomy with the media team and the agency to ensure data quality and consistency </li></ul><ul><li>Proactively identify measurement gaps, risks, and opportunities; propose solutions and measurement approaches before being asked; drive clarity and standards in a fast-changing environment </li></ul>Synthesize insights into actionable plans:<ul><li>Synthesize campaign performance data from multiple sources to uncover key drivers and translate insights into clear, actionable recommendations  </li></ul><ul><li>Interpret results from attribution models and Media Mix Modeling to inform strategic budget reallocation decisions; partner with data science teams to operationalize advanced measurement approaches </li></ul><ul><li>Deliver insights that directly inform program investment, channel strategy, and buying group targeting priorities, with accountability for the business impact of those decisions, not just report delivery </li></ul><ul><li>Navigate ambiguous, high-impact problems where there is no prescribed solution; demonstrate sound judgment in recommending measurement approaches based on business priorities and constraints </li></ul>Strategic influence &amp; cross-functional partnership: <ul><li>Influence peers, managers, and cross-functional leaders by using data and sound judgment to test assumptions; Letting insights drive decisions, not intuition </li></ul><ul><li>Collaborate with the media agency and the Media Center of Excellence team to improve measurement maturity, data quality, and decision-making velocity </li></ul><ul><li>Support Test and Learn program design by providing performance baselines, measurement guidance, and accountability for test results and learnings </li></ul><ul><li>Lead program management through executive presentations and data-driven storytelling; translate measurement findings into clear strategic direction and guide stakeholders toward informed decisions </li></ul><h3>Qualifications</h3>Required: <ul><li>7+ years of experience in B2B marketing analytics, performance analytics, or related fields, with demonstrated seniority in driving strategic analytics initiatives across multiple concurrent programs </li></ul><ul><li>Proven track record of owning measurement strategy and KPI governance at a program or portfolio level; experience navigating high-impact, ambiguous problems with no prescribed solution </li></ul><ul><li>Demonstrated ability to connect paid media performance to business outcomes, specifically pipeline contribution and account engagement </li></ul><ul><li>Advanced proficiency in SQL for data analysis, manipulation, and measurement framework design </li></ul><ul><li>Deep understanding of AdTech platforms and campaign tracking </li></ul><ul><li>Experience with Python or AI-driven processes for advanced analytics, insights generation, and process automation </li></ul><ul><li>Demonstrated expertise in defining measurement frameworks, KPI governance, and driving stakeholder alignment across competing interests in matrixed organizations </li></ul><ul><li>Exceptional data storytelling and executive communication skills with proven ability to influence strategy through insights and context; comfort translating complexity into clear narratives </li></ul><ul><li>Experience managing and driving cross-functional team presentations that tell compelling performance stories and surface actionable insights </li></ul>Preferred:<ul><li>Experience with Account-Based Marketing (ABM) measurement and measurement strategy at scale across multiple accounts and buying groups </li></ul><ul><li>Deep hands-on experience designing, interpreting, or improving Media Mix Modeling (MMM) and multi-touch attribution models </li></ul><ul><li>Familiarity with media agency partnerships and media performance governance; experience managing vendor relationships and driving measurement standards across partners like agencies </li></ul><ul><li>Experience with Python or AI-driven processes for advanced analytics, insights generation, and process automation </li></ul><ul><li>Understanding of buying group dynamics and experience measuring influence and engagement across multiple decision-makers within accounts </li></ul>For positions in this location, we offer a base pay of $139,900 - $244,800, 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.<h3>Additional Information</h3>Work PersonasWe 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. <a href="https://careers.servicenow.com/life-at-servicenow#workpersonas" rel="noopener noreferrer ugc" target="_blank">Learn more here</a>. 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 EmployerServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  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.  AccommodationsWe 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 <a href="mailto:globaltalentss@servicenow.com" rel="noopener noreferrer">globaltalentss@servicenow.com </a>for assistance. Export Control RegulationsFor 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. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Sr Data Analytics Mgr. Paid Media Campaigns

<h3>Company Description</h3>Who we areMoveworks: 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.  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.  <h3>Job Description</h3>The RoleWe are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks agentic and conversational AI capabilities platform-wide.As a member of the Agentic AI Harness &amp; Quality team, you will have all the tools of modern agentic AI engineering at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to tune, evaluate, and serve both models and agents in production. We are an eval-driven, data-centric team, and you will have the assistance of a <a href="http://www.moveworks.com/insights/moveworks-annotation-philosophy-experts-make-our-ai-better" rel="noopener noreferrer ugc" target="_blank">world-class annotation team</a> to build error-free, inclusive, and privacy-preserving datasets for tuning and evaluation. You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word “performance”: not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole. Successful machine learning engineers on the team are motivated to design and maintain high-performing compound AI systems, with model training as one tool among many in the toolbox rather than the central responsibility of the job.Our team indexes on increasing our ability to move fast, solving challenging product and engineering challenges, and pushing the envelope of agent reliability and value provided to customers. Your work will impact our team’s core objective to build the highest-performing enterprise assistant platform the world has ever seen, in close collaboration with other functions within Moveworks and ServiceNow as a whole. 
What you get to do in this role:<ul><li>Apply software engineering, machine learning, and <a href="http://bair.berkeley.edu/blog/2024/02/18/compound-ai-systems" rel="noopener noreferrer ugc" target="_blank">compound AI system engineering</a> to create lasting value for all our customers</li><li>Drive quality in agent behavior, both in terms of increasing utility for end users and decreasing misbehavior in the customer business environment</li><li>Take on exciting and difficult challenges in AI harness engineering, such as agent cognitive architecture, eval benchmark creation, context engineering, generative UI, dynamic agent orchestration, multimodal I/O, multilingual support, conversational memory management, reasoning strategies, abstractive summarization, grounding and verifiability for generated text, deployment safety, and self-learning</li><li>Read, discuss, and build on the latest ML/LLM research and open-source repositories and models</li><li>Research and develop innovative, scalable and dynamic solutions to hard problems</li><li>Use your knowledge of machine learning fundamentals and LLMs to make improvements to the agentic harness and its AI components, evaluate them with small scale experiments and productionize your solutions at scale</li><li>Partner closely with web and chat platform engineering teams to turn harness investments into delightful user experiences that wow our customers</li></ul><h3>Qualifications</h3>To be successful in this role you have:<ul><li>Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components</li><li>Ability to solve problems end-to-end with machine learning</li><li>Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes</li><li>Attention to detail and high standard of data quality for training and especially evaluation datasets</li><li>Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang</li><li>Knowledge of deep learning architectures and algorithms and leading large language models</li><li>Desire to work at a startup pace in a medium-sized company with a high degree of ownership</li><li>Drive to ship product improvements with production-grade code</li><li>Strong appetite for continuous incremental wins and completing challenging projects fast</li><li>High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of NLU &amp; AI</li></ul>For positions in this location, we offer a base pay of 139,700-216,500, 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.   <h3>Additional Information</h3>Work PersonasWe 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. <a href="https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf" rel="noopener noreferrer ugc" target="_blank">Learn more here</a>. 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 EmployerServiceNow 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. AccommodationsWe 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 <a href="mailto:globaltalentss@servicenow.com" rel="noopener noreferrer">globaltalentss@servicenow.com </a>for assistance. Export Control RegulationsFor 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. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Machine Learning Engineer, Agentic AI Harness & Quality - Moveworks

<h3>Company Description</h3>Who we are 
 
Moveworks: 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. 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.Come join us!<h3>Job Description</h3>The RoleWe are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks agentic and conversational AI capabilities platform-wide.As a member of the Agentic AI Harness &amp; Quality team, you will have all the tools of modern agentic AI engineering at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to tune, evaluate, and serve both models and agents in production. We are an eval-driven, data-centric team, and you will have the assistance of a <a href="http://www.moveworks.com/insights/moveworks-annotation-philosophy-experts-make-our-ai-better" rel="noopener noreferrer ugc" target="_blank">world-class annotation team</a> to build error-free, inclusive, and privacy-preserving datasets for tuning and evaluation. You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word “performance”: not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole. Successful machine learning engineers on the team are motivated to design and maintain high-performing compound AI systems, with model training as one tool among many in the toolbox rather than the central responsibility of the job.Our team indexes on increasing our ability to move fast, solving challenging product and engineering challenges, and pushing the envelope of agent reliability and value provided to customers. Your work will impact our team’s core objective to build the highest-performing enterprise assistant platform the world has ever seen, in close collaboration with other functions within Moveworks and ServiceNow as a whole.What you get to do in this role:<ul><li>Apply software engineering, machine learning, and <a href="http://bair.berkeley.edu/blog/2024/02/18/compound-ai-systems" rel="noopener noreferrer ugc" target="_blank">compound AI system engineering</a> to create lasting value for all our customers</li><li>Drive quality in agent behavior, both in terms of increasing utility for end users and decreasing misbehavior in the customer business environment</li><li>Take on exciting and difficult challenges in AI harness engineering, such as agent cognitive architecture, eval benchmark creation, context engineering, generative UI, dynamic agent orchestration, multimodal I/O, multilinguality, conversational memory management, reasoning strategies, abstractive summarization, grounding and verifiability for generated text, deployment safety, and self-learning</li><li>Read, discuss, and build on the latest ML/LLM research and open-source repositories and models</li><li>Research and develop innovative, scalable and dynamic solutions to hard problems</li><li>Use your knowledge of machine learning fundamentals and LLMs to make improvements to the agentic harness and its AI components, evaluate them with small scale experiments and productionize your solutions at scale</li><li>Partner closely with web and chat platform engineering teams to turn harness investments into delightful user experiences that wow our customers</li></ul><h3>Qualifications</h3>To be successful in this role you have:<ul><li>Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components</li><li>Ability to solve problems end-to-end with machine learning</li><li>Solid grasp of model evaluation fundamentals, especially for agent trajectories, text generation, text classification, and non-uniform sampling regimes</li><li>Attention to detail and high standard of data quality for training and especially evaluation datasets</li><li>Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang</li><li>Familiarity with deep learning architectures and algorithms and leading large language models</li><li>High degree of ownership</li><li>Drive to ship product improvements with production-grade code</li><li>Strong appetite for continuous incremental wins and completing challenging projects fast</li><li>High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of agentic AI</li></ul> <h3>Additional Information</h3>Work PersonasWe 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. <a href="https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf" rel="noopener noreferrer ugc" target="_blank">Learn more here</a>. 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 EmployerServiceNow 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. AccommodationsWe 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 <a href="mailto:globaltalentss@servicenow.com" rel="noopener noreferrer">globaltalentss@servicenow.com </a>for assistance. Export Control RegulationsFor 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. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Senior Machine Learning Engineer, Agentic AI Harness & Quality - Moveworks

<h3>Company Description</h3>Who we areMoveworks 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! 
 ServiceNowIt 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.<h3>Job Description</h3>The 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: <ul><li>Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.</li><li>Build abstractions to automate various steps in different ML workflows</li><li>Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features</li><li>Leverage your experience to drive best practices in ML and data engineering</li></ul><h3>Qualifications</h3>To be successful in this role you have:<ul><li>5+ years of industry experience in Machine Learning, Infrastructure or related fields</li><li>Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.</li><li>Experience with building and scaling end-to-end machine learning systems</li><li>Experience building scalable micro services and ETL pipelines</li><li>Expertise in Python and experience with performant language such as C++ or GoLang</li><li>Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.</li><li>A love of research publications in the machine learning and software engineering communities</li><li>Effective communicator with experience collaborating cross-functionally with other teams</li></ul>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. <h3>Additional Information</h3>Base salary range 
$161,300-274,200 
 
Work PersonasWe 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. <a href="https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf" rel="noopener noreferrer ugc" target="_blank">Learn more here</a>. 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 EmployerServiceNow 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. AccommodationsWe 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 <a href="mailto:globaltalentss@servicenow.com" rel="noopener noreferrer">globaltalentss@servicenow.com </a>for assistance. Export Control RegulationsFor 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. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Senior Machine Learning Engineer, Agentic Systems - Moveworks

<h3>Company Description</h3>It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. <h3>Job Description</h3>Company DescriptionIt 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.Job DescriptionWhat You Will DoWe are looking for a search relevance engineer to work with a team to improve a search based question answering platform. At Moveworks, we build search technology to answer enterprise users’ tech questions instantly, by combining modern information retrieval methodology with the latest advancement in natural language understanding. Our core Search product value is achieved through the capability of accurately retrieving, matching and ranking text snippets extracted from heterogeneous knowledge sources, as direct answers to users’ requests. You will play a critical role in boosting answer quality by meeting the challenges such as lexical gap, semantic text understanding, and data sparsity.We’re building a team that indexes on moving fast, solving challenging product/engineering problems and providing value to our customers. To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions.<ul><li>Craft new ranking features and optimizing existing ones to enhance relevance metrics</li><li>Develop algorithm framework to support diversified ranking features</li><li>Design platform and tooling to enable parallel ranking experiments</li><li>Develop metrics to evaluate ranking performance</li></ul> <h3>Qualifications</h3>QualificationsWhat You Bring To The Table<ul><li>First-hand experience in traditional information retrieval techniques, or machine learning based ranking models</li><li>Capable of deriving insights from query logs analysis and identifying areas of improvement for search quality</li><li>Background in text processing, information retrieval, natural language understanding, or machine learning</li></ul>Nice to Have<ul><li>Experience in Golang</li></ul>For positions in this location, we offer a base pay of $139,700 - $216,500, 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. <h3>Additional Information</h3>Work PersonasWe 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. <a href="https://careers.servicenow.com/life-at-servicenow#workpersonas" rel="noopener noreferrer ugc" target="_blank">Learn more here</a>. 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 EmployerServiceNow 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. AccommodationsWe 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 <a href="mailto:globaltalentss@servicenow.com" rel="noopener noreferrer">globaltalentss@servicenow.com </a>for assistance. Export Control RegulationsFor 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. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license. .

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