Apple's AIML Evaluation team seeks a senior Machine Learning Engineering Manager to lead a team focused on model evaluation, agent optimization, and data generation. This role involves defining how evaluation integrates with model and product development to address quality gaps. The manager will combine technical expertise with leadership to mentor engineers and align teams on technical direction. The position emphasizes creating repeatable evaluation loops that enhance the quality of Apple intelligence experiences.

• 8+ years of professional experience in machine learning, applied research, or software engineering.
• 3+ years of technical leadership experience, including direct people management.
• Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong programming skills in Python and experience with modern ML frameworks.
• Deep experience with large language models or agentic systems.

• Lead the technical strategy and execution for agent evaluation and automatic optimization.
• Own systems that evaluate foundation models and diagnose failure modes.
• Prototype new approaches and participate in architecture and code reviews.
• Design experiments and help the team translate research into scalable pipelines.
• Collaborate with various teams to build an evaluation flywheel connecting product behavior with model refinement.

• 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.