LEAD MACHINE LEARNING ENGINEER - SUPPLY CHAIN

Nike - Beaverton, OR

Full-time - Mid Level

Remote - Beaverton, OR

Leather and Allied Product Manufacturing

About the position

As a Lead Machine Learning Engineer at NIKE, Inc., you will be responsible for developing advanced analytics and machine learning solutions that significantly impact the business. This role requires a strong technical background in Python, algorithms, data structures, and cloud technologies, particularly AWS. You will lead projects from conception to operationalization, providing technical vision and guidance to your team while working in an agile environment.

Responsibilities

• Develop robust advanced analytics and machine learning solutions.
• Own projects end-to-end from conception to operationalization.
• Provide technical vision and guidance to teammates.
• Design and implement scalable applications leveraging prediction models and optimization programs.
• Contribute to core advanced analytics and machine learning platforms and tools.
• Collaborate with global teams to solve machine learning problems at scale.

Requirements

• Bachelor's degree in Computer Science or relevant experience.
• 5+ years of professional experience in software engineering, data engineering, or machine learning.
• Strong analytical mindset and experience leading problem-solving efforts.
• Proficiency in Python and experience with Docker and CI/CD automation.
• Expertise in agile development and test-driven development.
• Experience with data structures, data modeling, and software architecture.
• Familiarity with complex data sets, ETL pipelines, SQL, and general data engineering.
• Expertise in MLOps, API development, or mathematical optimization is highly desirable.
• Experience with cloud architecture, particularly Amazon Web Services.
• Familiarity with technologies like Spark, Kubernetes, Docker, Jenkins, Databricks, and Terraform.

Nice-to-haves

• Expertise in MLOps, API development, or mathematical optimization.
• Experience with Spark, Kubernetes, Docker, Jenkins, Databricks, and Terraform.

Benefits

• Generous total rewards package.
• Casual work environment.
• Diverse and inclusive culture.
• Opportunities for professional development.