The role involves contributing to the development of Foundation Models for Apple Intelligence features, impacting user experiences across various Apple devices. As a Senior ML Engineer, you will drive innovations in machine learning, focusing on data utilization to enhance model training efficiency and performance. The team aims to leverage diverse data sources to improve model capabilities and user interactions. You will work with a talented group of individuals dedicated to advancing intelligent products that assist millions of users.

• 5+ years of hands-on ML engineering experience.
• Master's or PhD in Computer Science, Electrical Engineering, or Mathematics.
• Prior experience as an ML modeler, scientist, or researcher.
• Knowledge of classic machine learning algorithms and modern deep learning frameworks.
• Familiarity with multi-modal data and large models, including image and video.
• Strong software engineering skills with a focus on code quality and scalability.
• Experience with different phases in LLM model training, including LoRA, SFT, RLHF, and reward modeling.
• Excellent communication skills with active listening and empathy.
• Self-motivated and curious with a drive for continuous learning.
• Demonstrated creative and critical thinking abilities.

• Define important signals in prompts, responses, and reasoning steps for algorithm development.
• Perform error analysis to improve model capabilities through balanced evaluation sets.
• Conduct ablation experiments to test data augmentation strategies and debug training errors.
• Efficiently process and filter large amounts of messy data.

• 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.