Natural Language Generation Engineer, Wallet & Payments

Job Description

Machine Learning Engineer role at Apple working on model pipelines for rich text experiences on Wallet products.

Requirements

• MS or PhD in Computer Science or related field with at least 2 years of industry experience
• Strong Python programming skills, with experience developing production-quality Python modules
• Solid background in machine learning, data science, natural language processing, or statistics

Responsibilities

• Development and maintenance of modeling pipelines that are deployed to production and reach global scale
• Definition of robust automated evaluation metrics to enable continuous model improvements
• Failure analysis to understand shortcomings and model sensitivities
• Curation and synthesis of representative training and evaluation data
• Implementation of experiments and simulations to assess proposed model changes

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.