Machine Learning - Data Scientist

Job Description

Seeking an expert in evaluating machine learning and deep learning models to craft robust evaluation frameworks at Apple.

Requirements

• BS and a minimum of 10 years relevant industry experience
• Strong experience in evaluating supervised, unsupervised, and deep learning models
• Hands-on experience evaluating LLMs and using them as scoring/judging mechanisms
• Familiarity with multimodal models and related evaluation challenges
• Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow
• Solid understanding of statistical testing, sampling, confidence intervals, and metrics
• Strong documentation skills

Responsibilities

• Develop robust methodologies to assess the performance of foundation models across diverse tasks
• Leverage LLMs as judges to perform subjective and open-ended model evaluations
• Build, curate, and lead evaluation datasets and benchmarks
• Collaborate with research, engineering, and product teams to define evaluation goals aligned with user experience and product quality
• Conduct failure analysis and uncover edge cases to improve model robustness
• Contribute to tools and infrastructure to automate and scale evaluation processes

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.