The Engineering Manager will lead the development of end-to-end machine learning frameworks that support model building, training, evaluation, and deployment across Apple's services. This role is part of the Generative AI Frameworks team, which focuses on creating intelligent and privacy-preserving experiences for users. The manager will shape the technical foundations relied upon by various product and research teams while fostering a high-performing engineering team. The position requires balancing long-term platform investments with immediate product needs.

• Master's degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of professional software engineering experience.
• 2+ years of people management experience leading engineering teams.
• Experience building or maintaining production machine learning systems or platforms.
• Strong background in distributed systems, data-intensive applications, or ML infrastructure.
• Experience partnering cross-functionally with applied ML or data science teams.
• Experience building shared ML platforms or frameworks used by multiple teams or organizations.
• Deep understanding of the ML lifecycle, including training pipelines, evaluation methodologies, and deployment patterns.
• Experience operating ML systems at scale in production environments.
• Familiarity with model evaluation, experimentation frameworks, and metrics-driven development.
• Experience balancing platform abstractions with flexibility for diverse use cases.
• Strong technical leadership skills, including architecture reviews and long-term roadmap ownership.
• Demonstrated ability to hire, develop, and retain high-performing engineers.
• Experience working in environments with strong privacy, security, or compliance requirements.

• Lead a team that designs and delivers shared machine learning frameworks used across Apple services.
• Partner closely with applied ML teams, infrastructure teams, and product stakeholders.
• Set technical direction and manage execution for machine learning frameworks.
• Grow engineers while balancing long-term platform investments with immediate product needs.
• Translate ambiguous organizational needs into durable technical solutions.

• 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.