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
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
  Qualifications

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)
  

  DTjobs

For positions in this location, we offer a base pay of $147,300 to $257,800, 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.
Additional Information