The Machine Learning Engineer role focuses on foundation model evaluation, playing a critical part in assessing the capabilities of models that enhance Apple Intelligence features. This position involves close collaboration with machine learning researchers to translate evaluation insights into actionable improvements. The engineer will ensure reliable measurement of foundation model performance to support crucial shipping decisions. The role requires designing and maintaining evaluation infrastructure while contributing to high-impact areas of the Apple product lifecycle.

• 5+ years of hands-on machine learning engineering experience, with at least 1+ years working directly on large language models or generative AI.
• Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
• Strong software engineering fundamentals including debugging, testing, code reviews, and production reliability/scalability.
• Hands-on experience with large language model training and/or evaluation workflows.
• Experience evaluating large language models at scale or designing large language model benchmarks.
• Strong communication skills to convey important information clearly and concisely.
• Self-motivated and curious with a drive to continually learn on the job.
• High level of creative and critical thinking skills with a tolerance for ambiguity.

• Assess the capabilities of foundation models that power Apple Intelligence features.
• Collaborate extensively with machine learning researchers on model hillclimbing.
• Develop novel methodologies for measuring model performance.
• Design, implement, and maintain evaluation infrastructure.
• Ensure that foundation model performance can be measured quickly and reliably.
• Translate evaluation insights into actionable improvements for future model performance.

• 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.