Role overview
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.
What we're looking for
- Experience partnering with cross-functional teams exercising sound judgment.
- Track record of delivery in rapidly changing, highly collaborative, multi-stakeholder environments.
- Experience working with a diverse group of engineers.
- Experience contributing to AI publications.
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
$191,000.00 - $297,000.00 AnnualThis position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf