The Applied Machine Learning Engineer will join Apple's Information Systems and Technology (IS&T) organization, specifically within the Sales and Operations Engineering team. This role focuses on leveraging Generative AI and Machine Learning technologies to address complex supply chain challenges in an enterprise context. The ideal candidate will work with a team of experts to design and develop advanced analytics solutions that integrate seamlessly into existing systems. The position requires a strong background in machine learning and a passion for solving global operational complexities.

• MS in Computer Science, Machine Learning, Applied Math or a related field.
• 5+ years of industry experience developing Machine Learning solutions.
• Hands-on experience in Python as a programming language.
• Experience deploying ML solutions to production.
• PhD in Computer Science, Machine Learning, Applied Mathematics, or a related field.
• 10+ years of experience building and deploying production machine learning systems using Python, C++, TensorFlow, or PyTorch.
• Deep expertise in machine learning, deep learning, NLP, anomaly detection, large language models, and Generative AI.
• Experience with scalable data and ML infrastructure, including SQL, Spark, graph databases, cloud platforms, and MLOps.
• Proven ability to independently deliver high impact AI solutions from concept through production.

• Apply Generative AI and Machine Learning technologies to solve complex supply chain challenges.
• Design and develop advanced analytics solutions for strategic and executional decision-making.
• Collaborate with engineering and application teams to integrate solutions into existing systems.
• Evaluate and measure the business impact of AI solutions.
• Communicate complex technical concepts clearly to both technical and business teams.

• 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.