As a Machine Learning Infrastructure engineer at Apple, you will play a crucial role in developing scalable ML data infrastructure that supports high-quality model development. You will work closely with a talented team of engineers and creatives to innovate in the creative editing tools space. This position offers a unique opportunity to impact the creative community by enhancing application features for professionals and enthusiasts. Your contributions will help shape the next generation of technologies that delight users.

• BS/MS in Computer Science or related field with 3+ years of relevant industry experience.
• Proficiency in a high-level programming language, preferably Python.
• Strong understanding of software engineering best practices, particularly in data modeling and schema design.
• Experience developing and optimizing large-scale ML workloads on distributed processing frameworks.
• Knowledge of cloud platforms and container orchestration technologies such as Kubernetes and Docker.

• Lead the development of scalable ML data infrastructure.
• Enable high-quality ML model development and continuous improvement of application features.
• Collaborate effectively with partner teams, including ML research scientists and engineers.
• Innovate and solve everyday problems in creative ways.
• Encourage an open and inclusive work environment.

• 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.