Senior Machine Learning Engineer, ML Systems Evaluation Engineering

Job Description

Join Apple's ML Systems Evaluation Engineering team to play a pivotal role in the evaluation and enhancement of Apple Intelligence products, focusing on Conversational AI.

Requirements

• 7+ years of professional work experience applying machine learning to real-world problems
• Experience with managing datasets for ML training and/or evaluation
• MS/PhD in Machine Learning, Computer Science, or equivalent experience
• Excellent programming skills in Python

Responsibilities

• Collaborate with cross-functional teams to lead the creation and evolution of high-quality datasets for evaluation of state-of-the-art models
• Leverage large language models to automatically evaluate the impact of model changes on end-user experience
• Assess the quality and naturalness of conversations with a digital assistant
• Create adversarial scenarios using generative AI to anticipate future user behaviors and edge cases

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.