The Senior Machine Learning Engineer specializing in Conversational AI will join the SCALE team at Apple, focusing on evaluating Siri and AI/ML models at scale. This role involves delivering offline evaluation insights that drive model development while adhering to Apple's privacy standards. The engineer will collaborate with cross-functional teams to curate high-quality evaluation datasets for state-of-the-art models. This position offers the opportunity to work at the intersection of cutting-edge AI and human-centered design.

• 7+ years of professional experience applying machine learning to real-world problems and crafting scalable data solutions, specifically in natural language products.
• Proven experience managing large-scale datasets for ML training and/or evaluation.
• Excellent programming skills in Python.
• MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field.
• Deep domain knowledge in Conversational AI and a strong understanding of the end-to-end ML product lifecycle.
• Expertise in defining and measuring evaluation coverage for Large Language Models (LLMs) and agentic systems.

• Collaborate with cross-functional teams to curate and evolve high-quality evaluation datasets for state-of-the-art models.
• Deliver offline evaluation insights that drive model development and improve the end-user experience.
• Tackle novel challenges in evaluating highly personalized user experiences.
• Ensure adherence to Apple's strict privacy standards in all evaluations.

• 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.