SummaryAs a Principal Machine Learning Engineer at Nordstrom, you will develop and implement advanced machine learning systems and infrastructure, focusing on Merchandising, Supply Chain, and Inventory. Your role will be critical in optimizing profit while enhancing the customer experience through robust, scalable, and efficient machine learning solutions.
Responsibilities- Design, implement, and scale critical machine learning systems and infrastructure to support Nordstrom's business.
- Collaborate with cross-functional teams to align on machine learning platform strategies.
- Stay updated with the latest technology in machine learning and apply this knowledge innovatively.
- Collaborate with leadership to enhance the ML tech stack and organizational performance.
- Work across teams to understand product requirements and deliver innovative solutions.
- Advocate for best practices in availability, scalability, operational excellence, and cost management.
- Provide technical direction for the ML community.
- Mentor junior engineers and promote best practices in MLOps.
Requirements- 10+ years of experience in applied Machine Learning.
- Strong programming skills in object-oriented languages (Scala, Python, Java, C++).
- Data engineering skills and a firm grasp of computer science fundamentals.
- Bachelor's, Master's, or PhD in CS/ML/OR or related field.
- Experience building end-to-end Machine Learning infrastructure and models.
- Understanding of architectural patterns of large, high-scale software applications.
- Deep understanding of statistical and machine learning algorithms.
- Experience with AWS/Sagemaker and GCP/Vertex AI is a plus.
- Ability to work independently and collaboratively.
- Strong communication skills and a desire to share knowledge.
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