Applied ML Engineer- Foundation Models & Multimodal Intelligence

Job Description

Join the Multimodal Intelligence Team (MINT) at Apple to work on building end-to-end pipelines for foundation models and multimodal agents.

Requirements

• BS and a minimum of 3 years relevant industry experience
• Proficiency in Python and at least one deep learning framework (PyTorch, JAX, or TensorFlow)
• Hands-on experience with large-scale distributed training pipelines and data engineering for ML
• Software engineering skills, including modular design, testing, and performance optimization

Responsibilities

• Drive the development of large-scale training and inference pipelines for foundation models
• Design and optimize data workflows for multimodal datasets
• Work with researchers to translate cutting-edge advances into production-grade implementations
• Collaborate with product teams to turn state-of-the-art methods into robust systems

Benefits

• 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.