Senior Manager- AI/ML Engineering

Nike - Beaverton, OR

Full-time - Senior

Beaverton, OR

Leather and Allied Product Manufacturing

About the position

As a Sr. Manager in AI/ML Engineering at NIKE, Inc., you will lead and grow teams of machine learning engineers, data scientists, and software architects to deliver scalable AI and machine learning solutions. This role involves working at the intersection of machine learning and engineering, advocating for best practices, and adopting new technologies to enhance Nike's supply chain capabilities. You will be part of a cross-disciplinary engineering leadership team focused on executing the AI/ML organization's charter, fostering innovation, and driving progress across the company.

Responsibilities

• Lead and grow teams of machine learning engineers, data scientists, and software architects.
• Deliver scalable machine learning and AI solutions to customers across the business.
• Advocate for engineering best practices such as code reviews and unit testing.
• Promote the adoption of new technologies like DataBricks and SageMaker.
• Coach engineers to elevate their skills and grow their careers at Nike.
• Engage employees and assist teams by removing roadblocks.
• Align efforts across Nike's matrix to drive progress forward.
• Stay current with industry trends and recommend relevant technologies.
• Model clarity and accountability as a leader.
• Communicate effectively and build trust across the company.
• Mentor teams and individuals to foster high-performing teams.
• Set high standards for engineering excellence and drive innovation.

Requirements

• Bachelor's Degree in computer science, software engineering, or applicable field (Master's or Ph.D. preferred).
• 7+ years of experience in developing production-grade software in software or data engineering, machine learning, or a related field.
• 4+ years in a leadership or management role using Agile frameworks.
• Familiarity with ETL, ML, or analytics technologies such as Scikit-learn, Dask, Tensorflow, Kubeflow, Spark, EMR, or similar platforms.
• Ability to communicate technical topics effectively with stakeholders.
• Fluency in open-source technologies and standardized platforms.
• Experience in making build/buy decisions in Data Science, AI, & ML.
• Deep knowledge of software architecture and engineering best practices.

Nice-to-haves

• Experience delivering analytics and ML products.
• Ability to influence decisions across loosely coupled teams.
• The habits of a constant learner.

Benefits

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