The Machine Learning Engineer role at Apple focuses on predictive analytics and analytic engineering within the Product Marketing Customer Analytics team. The position requires deep technical expertise to develop scalable ML algorithms and models that enhance customer engagement. The engineer will work closely with various teams, including Product Marketing and Investor Relations, to translate product requirements into actionable insights. This role emphasizes collaboration, innovation, and the ability to manage complex ML projects in a fast-paced environment.

• Graduate degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or a related field is required.
• 8+ years of hands-on programming skills for large-scale data processing.
• Excellent understanding of analytical methods and machine learning algorithms, including regression, clustering, classification, and optimization.
• Proven experience building and scaling predictive models across distributed systems such as Spark and Kubernetes.
• Comfortable with advanced deep learning frameworks like TensorFlow and PyTorch.

• Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics for customer product and services engagement.
• Develop scalable ML algorithms and models to understand customer behavior and provide actionable insights.
• Design and implement end-to-end machine learning pipelines using best-in-class MLOps frameworks.
• Manage ML projects through all phases, including data quality, algorithm development, predictive modeling, and deployment.
• Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models.

• 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.