The Machine Learning Infrastructure engineer will work with the Creator Studio team at Apple to develop innovative creative editing tools. This role involves leading the development of scalable ML data infrastructure to enhance the quality of ML model development. The position offers a unique opportunity to collaborate with world-class engineers and creatives in a highly visible and impactful environment. The focus is on continuous improvement of application features for creative professionals and enthusiasts.

• 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.
• Strong understanding of the ML-based product lifecycle.
• Working knowledge of modern database and distributed data processing technologies and frameworks.
• Experience with Python package management and build/deployment tooling.
• Knowledge of cloud platforms and container orchestration technologies.

• 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.
• Solve everyday problems in innovative 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.