Principal Data Science ML Engineer - Hybrid - Seattle

Job Description

As a Principal Machine Learning Engineers 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.

Key Responsibilities:

• 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).

Qualifications:

• 10+ years of related experience in applied Machine Learning. Strong programming skills in object-oriented languages (Scala / Python / Java/ C++ or equivalent), Data engineering skills, and a firm grasp of computer science fundamentals (data structures, algorithms, databases, etc.).

• Bachelor’s, Master’s, or PhD in CS/ML/OR or related field.

• Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models.

• Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms, and models).

• Deep understanding of statistical and machine learning algorithms, and a finely honed intuition for fitting the best model class to a given situation.

• Comfortable working with and across different cloud solutions - AWS/Sagemaker and GCP/Vertex AI experience a plus.

• An ability to work both independently and collaboratively.

• A broad perspective on problem-solving.

• Strong communication skills and a desire to share your knowledge with team members and others.

Preferred Qualifications:

• 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.

 Core Competencies: 

• Customer Focus: Commitment to delivering a seamless customer experience through technology solutions. 

• Decision Quality: Ability to make sound decisions based on a mix of analysis, wisdom, experience, and judgment. 

• Strategic Mindset: Capacity to take a long-term view and anticipate future trends and implications. 

• Manages Complexity: Effectively navigates and simplifies complex situations and challenges. 

• Communicates Effectively: Delivers clear, concise, and impactful messages to a variety of audiences. 

• Drives Results: Demonstrates a strong drive to achieve meaningful outcomes. 

#LI-EB1

We’ve got you covered…

Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources

A few more important points...

The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.

Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. 

© 2022 Nordstrom, Inc  

Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.

Pay Range Details

The pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.

Washington: $162,000 - $297,000 Annually

This 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