As a Principal Machine Learning Engineer at Nordstrom you will have the opportunity to develop and implement advanced machine learning systems and infrastructure, focusing on Merchandising, Supply Chain, and Inventory helping Nordstrom optimize profit while improving the customer experience. The Principal ML Engineer will collaborate closely with data scientists, software engineers, and product teams to translate complex business problems into production-ready solutions. You will drive architectural decisions for high-performance computing and cloud-based ML platforms, ensuring scalability and security. Your responsibilities include creating models and optimizing model performance, ensuring system reliability, and implementing efficient data pipelines. Additionally, you will mentor junior engineers and stay updated on emerging technologies to guide strategic innovation. Your role is critical in delivering robust, scalable, and efficient machine learning solutions that support business growth and innovation. A day in the life... Design, implement, and scale critical machine learning systems and infrastructure to support Nordstrom’s business, particularly in Merchandising, Supply Chain, and Inventory. Collaborate with cross-functional teams to set and align on machine learning platform strategies to meet company objectives. Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways. Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization. Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services. Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management. Provide technical direction that influences the entire ML community. Mentor junior engineers and promote best practices in ML operations (MLOps).