The Machine Learning Infrastructure engineer will join the Creator Studio team at Apple, focusing on developing innovative creative editing tools. This role involves working with world-class engineers and creatives to enhance the creative space through advanced technologies. The engineer will lead the development of scalable ML data infrastructure, facilitating high-quality ML model development and continuous application feature improvement. This position offers a highly visible and impactful opportunity within the organization.

• 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.
• Ability to communicate effectively and collaborate with partner teams.
• Knowledge of modern database and distributed data processing technologies.
• Experience with Python package management and build/deployment tooling.
• Familiarity with cloud platforms and container orchestration technologies.

• Lead the development of scalable ML data infrastructure.
• Enable high-quality ML model development.
• Continuously improve application features for creatives.
• Collaborate with 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.