Machine Learning Engineer- Advanced Analytics, Worldwide Business Process Re-Engineering

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The Advanced Analytics team within Worldwide Business Process Re-Engineering Org is seeking a dynamic Machine Learning Engineer with expertise in Generative AI.

This role focuses on applying cutting-edge GenAI technologies to solve complex supply chain challenges within Apple's enterprise context. You'll be working at the intersection of advanced machine learning and supply chain optimization, developing scalable solutions that impact strategic and operational decision-making.

As a Machine Learning Engineer, you'll design and implement advanced ML models, particularly focusing on Generative AI applications in areas such as demand forecasting, inventory optimization, and logistics planning. You'll collaborate with cross-functional teams to integrate these solutions into existing enterprise systems while ensuring scalability and robustness.

The ideal candidate brings a strong technical foundation with 10+ years of industry experience in data science and 2+ years specifically in GenAI. You should have expert knowledge of ML algorithms, deep learning architectures, and modern data frameworks. Experience with deploying GenAI solutions in operational contexts and a track record of measuring and demonstrating business impact are essential.

What makes this role unique is the opportunity to work on high-impact projects at Apple's scale, applying cutting-edge GenAI technologies to transform global supply chain operations. You'll have the chance to influence the multi-year development of GenAI applications while working with world-class teams and accessing Apple's extensive resources.

Benefits include competitive base pay ($207,800-$312,200), equity opportunities through stock programs, comprehensive healthcare, retirement benefits, and education reimbursement. Join us in using advanced technology to revolutionize how Apple's global supply chain operates.