• Contribute to the design, development, evaluation, and iteration of recommendation models powering music surfaces • Drive hands-on ML development to improve recommendation quality across core surfaces • Contribute to the team's adoption of generative recommendation models • Promote best practices in ML systems development and testing • Collaborate with Data Science, Product, and Design partners to define success metrics and run A/B experiments • Partner with teams across Personalization to integrate and test new signals in recommendation systems

Role Description This is a ripe opportunity for a Principal Machine Learning Architect to help a successful ad tech company leverage ML to further optimize our wealth of data and elevate our world-class platform to greater heights. We have our first generation of successful ML projects live and are well on our way to our second. With Machine Learning continuing to mature, the ability to influence core architectures are huge and there are significant untapped business opportunities with our growing data and transaction volume. We are looking for a candidate with a track record of large-scale end to end ML solutions. Here’s what you’ll be doing: - Design, develop and implementation of complex data-centric solutions, including large data set verification, transformation, and feature generation - Ensure continuous high-quality input for ML model development - Design and implementation of model delivery systems - Develop effective strategies on deployment and hosting of ML models - Manage and monitor deployed models - Ability to deploy fast or real time inferencing a plus Qualifications - Masters or PhD in a STEM field or equivalent experience in a Data Scientist or closely related role - Industry experience applying ML at scale - Extensive knowledge of production infrastructure and pipelines for ML models (MLOps) - Experience with several of the following: Classification, Regression, Pattern Recognition, Recommendation Systems, Targeting Systems, Ranking Systems - Experience with Python or other relevant programming languages and Machine Learning frameworks - Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures - Interest in performance optimizations - Deep knowledge of math, probability, statistics, and algorithms - Strong business acumen with the ability to work cross-functionally to source data, establish requirements and define success - Experience working with an advanced engineering team - Knowledge of best practices for software engineering - Bonus if you have a software engineering background - Published articles or papers Requirements - Experience with participating in the machine learning competitions such as Kaggle - Experience in ad tech (i.e. knowledge of digital programmatic advertising data) Benefits - Comprehensive health, dental, and vision plans for you and your dependents - Paid time off, health days, and personal obligation days plus flexible work schedules - Competitive retirement matching plans - Equity packages - Generous parental leave available to birthing, non-birthing, and adoptive parents - Annual well-being allowance plus fitness discounts and group wellness activities - Commuter benefits and discounts, where available - Employee assistance program - Mental health first aid program that provides an in-the-moment point of contact and reassurance - One day of volunteer time off per year and a donation-matching program - Bi-weekly town halls and regular community-led team events - Multiple resources and programming to support continuous learning - A workplace that supports a diverse, equitable, and inclusive environment

• Help deliver projects rapidly as a Junior Machine Learning Engineer • Report to and be mentored by a senior team member • Work on real projects that make a tangible impact

Company Description 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. Job Description What you get to do in this role: The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future. You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world. - Build the best cloud-based AI/ML solutions to power intelligent enterprise services - Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software - Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users Qualifications To be successful in this role you have: - Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms - Experience building new products that use challenging algorithms - Expertise in coding efficient, object-oriented, modularized and quality software - Knowledge of core AI/ML techniques and algorithms - Knowledge of unit testing, profiling, and code tuning Additional Information Work Personas We 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. Learn more here . 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 Employer ServiceNow 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. Accommodations We 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. Export Control Regulations For 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.