SENIOR MANAGER CONSUMER AI/ML ENGINEERING

Nike - Beaverton, OR

Full-time - Senior

Remote - Beaverton, OR

Leather and Allied Product Manufacturing

About the position

As a Senior Engineering Manager within Consumer and Marketplace AIML at NIKE, Inc., you will lead a team of machine learning engineers, data scientists, and software architects to deliver scalable AI and ML solutions. This role is crucial for addressing complex business challenges in consumer-facing applications, enhancing product recommendations, and improving marketing communications. You will guide teams across various geographies, foster innovation, and ensure seamless transitions of ML solutions from concept to production.

Responsibilities

• Spearhead and expand the team of machine learning engineers, data scientists, and software architects.
• Deliver scalable machine learning and artificial intelligence solutions for diverse customer needs.
• Oversee areas such as Product and Search Recommendation and enhance communications for people-based marketing.
• Cultivate partnerships with open-source communities, commercial vendors, and academic institutions.
• Drive innovation in AIML by keeping abreast of industry trends and collaborating with architecture for solution consistency.
• Develop and implement machine learning models for consumer-facing applications, ensuring privacy and security standards are met.
• Lead teams in developing ML products and ensure adherence to best practices in CI/CD and Infrastructure as Code.

Requirements

• Bachelor's Degree in computer science, software engineering, or related field (Masters or Ph.D. preferred).
• 7 years of experience in developing production-grade code in software or data engineering, machine learning, or a related field.
• 5+ years of experience in leading and managing ML engineering teams.
• Deep knowledge of the full Machine Learning lifecycle, from data analysis to model deployment and A/B testing.
• Proficient in a wide range of Machine Learning algorithms and architectures, with experience in public cloud platforms.
• Demonstrated expertise in leading teams to develop ML products and proficiency in various API architectures.

Nice-to-haves

• Experience with open-source technologies and understanding the impact of make/buy decisions in Data Science, AI, & ML.
• Strong skills in team leadership and building positive relationships across departments.

Benefits

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