The Creativity Apps team at Apple is seeking a Machine Learning Engineer to focus on the quality and evaluation of ML models and AI features in creativity applications. This role involves defining evaluation strategies, building datasets, and ensuring end-to-end quality from model development to customer delivery. The engineer will collaborate with various teams to translate model use cases into effective evaluation methodologies. This position offers the opportunity to influence products that inspire millions of creators.

• 5+ years of industry experience in machine learning or software engineering, with a focus on ML/AI model evaluation and quality.
• Experience with evaluation methodology for ML models, LLMs, and AI products or features.
• Strong understanding of the ML development cycle, from data and training to evaluation, deployment, and monitoring.
• Solid machine learning fundamentals and LLM knowledge, including agentic workflows.
• Experience in data curation, dataset creation, and dataset quality, including iterative improvement workflows.

• Define evaluation strategy and metrics for ML models, LLMs, and AI features.
• Curate and create evaluation datasets, measure and improve dataset quality.
• Design, build, maintain, and optimize evaluation infrastructure at scale.
• Apply ML, LLMs, and agentic workflows to the evaluation process.
• Drive end-to-end evaluation and quality of AI features, from model checkpoints to integrated features.

• 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.