MANAGER AI/ML ENGINEERING

Nike - Beaverton, OR

Full-time - Manager

Remote - Beaverton, OR

Leather and Allied Product Manufacturing

About the position

The Manager of AI/ML Engineering at NIKE, Inc. is responsible for leading and growing teams of machine learning engineers, data scientists, and software architects to deliver scalable AI and machine learning solutions. This role involves collaborating with cross-disciplinary teams to execute the AI/ML organization's charter, focusing on MLOps and innovative service delivery that enhances Nike's supply chain. The manager will advocate for engineering best practices and the adoption of new technologies, while also mentoring engineers to elevate their skills and careers.

Responsibilities

• Lead and grow teams of machine learning engineers, data scientists, and software architects.
• Collaborate with cross-functional leadership to deliver solutions that unlock machine learning for Nike.
• Engage employees and assist teams by removing roadblocks to drive progress.
• Develop and drive innovative solutions that delight customers and serve athletes.
• Stay current with industry trends and recommend relevant technologies in analytics and machine learning.
• Embody Nike's core values and model clarity and accountability as a leader.
• Mentor teams and individuals to foster high-performing teams and contributors.
• Set high standards for engineering excellence and drive innovation.

Requirements

• Demonstrated technical leadership with experience in delivering production-grade software at scale.
• Bachelor's Degree in computer science, software engineering, or applicable field (Master's or Ph.D. preferred).
• 5+ years of experience in software or data engineering, machine learning, or related fields.
• Experience in a technical leadership or management role using Agile frameworks.
• Familiarity with ETL, ML, or analytics technologies such as Scikit-learn, Dask, Tensorflow, Kubeflow, Spark, EMR.
• Ability to communicate technical topics effectively with stakeholders.
• Fluency in open-source technologies and standardized platforms.
• Knowledge of MLOps, code management workflows, and software architecture best practices.
• Practical skills in team leadership and building positive relationships across teams.

Nice-to-haves

• Experience delivering analytics and ML products.
• Knowledge of modern cloud computing stacks for deploying machine learning at scale.
• The habits of a constant learner.

Benefits

• Generous total rewards package
• Casual work environment
• Diverse and inclusive culture
• Professional development opportunities