The Machine Learning Engineer will join Apple's Global Sourcing & Supply Management Solutions team to revolutionize the supply chain using AI/ML technologies. This role focuses on designing and building GenAI-powered features and workflows, collaborating with various stakeholders to translate challenges into practical solutions. The engineer will work with cutting-edge technologies and contribute to data-driven decision-making and workflow optimization. This position requires a passion for applying AI/ML to real-world business problems in a collaborative environment.

• Bachelor's degree in Computer Science, Statistics, Applied Math, or a related field.
• PhD or MS in a relevant field is preferred.
• 5+ years of industry experience in machine learning.
• Strong problem-solving skills and ability to tackle ambiguous challenges.
• Experience with modern deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with transformer-based models, including large language models.
• Familiarity with common GenAI tools and frameworks.
• Solid understanding of foundational ML concepts including supervised and unsupervised learning.
• Experience with model deployment pipelines and serving GenAI models in production.
• Experience working in Supply Chain, Operations, or a related field.

• Partner with business and product teams to identify high-impact opportunities.
• Design, build, and own end-to-end GenAI capabilities for a centralized AI platform.
• Develop reliable, scalable, and cost-aware GenAI features in collaboration with engineering teams.
• Establish evaluation and monitoring strategies for GenAI-driven features.
• Develop Text-to-SQL and structured reasoning capabilities for natural-language interaction.
• Leverage agentic AI patterns to support complex workflows.
• Communicate trade-offs and system behavior to stakeholders.
• Continuously research and operationalize emerging GenAI techniques.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.