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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.

We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them.

The Connected Customer Experience (CCX) team creates consumer-grade digital experiences and products that help our customers and partners be successful and realize the value of their ServiceNow investment. Leveraging the latest technologies, and built on ServiceNow’s intelligent platform, we deliver a seamless, personalized experience at every step of our customers’ journey. The products we build power digital business for ServiceNow and can even become commercially available.

As a Staff AI/ML Software Engineer within CCX you will build data pipeline, ML Models, secure code that's scalable and reusable. Grow our business by bringing internal products to the world and find new ways to personalize with AI/ML and simplify how employees and customers work. Implement software that empowers internal customers to extend what it can do to meet their specific needs, as our own "customer zero."

What you get to do in this role:

+ Design and build scalable search ranking, indexing and personalization systems.

+ Develop real-time and batch ML models using embeddings, collaborative filtering, and deep learning.

+ Integrate user behavior signals, session data, and content metadata to optimize relevance.

+ Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks

+ Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact.

+ Optimize retrieval, filtering, and ranking algorithms in production search pipelines.

+ Real-time Personalization using query Embeddings for Search Ranking

+ Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics

+ Experience in MLOps and model governance

+ Strong analytical and quantitative problem-solving ability

+ Deep expertise in distributed computing strategies in Azure, AWS or GCP Cluster, enhancing the parallel processing capabilities

To be successful in this role you have:

+ Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.

+ 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

+ 3+ years experience building ML-powered search or recommendation systems.

+ Strong programming skills in Python, Java, SpringBoot or Scala.

+ Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM.

+ Knowledge of embedding models, user/item vectorization, or session-based personalization.

+ Experience with large-scale distributed systems (e.g., Spark, Kafka, Kubernetes).

+ Hands-on experience with real-time ML systems.

+ Background in NLP, graph neural networks, or sequence modeling.

+ Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR.

+ Hands-on experience working on AI search (text, vector and hybrid search)

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Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

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. Learn more here (https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf) .

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 [email protected] 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.

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