Demonstrated ability of development of training data, models or software in deep learning/machine learning frameworks (e.g. TensorFlow, PyTorch, or CoreML)
Experience in data science and analytics, including data annotation, statistical analyses, A/B testing, and/or conducting experiments and investigations in large-scale usage data environments
Great coding skills and strong hands-on experience with Big Data and its application in machine learning system.
Experience in writing OOP software (Swift, Objective-C, C++ or C)
Outstanding problem-solving, critical thinking, creativity, organizational, design, and interpersonal skills; ability to work with all levels of engineers, scientists, designers, and communicate effectively with management, leadership, and cross-functional partners
In-depth understanding of modern ML techniques (e.g. LLM fine-tuning, optimization, data generation approaches, transformer models, supervised and unsupervised modeling approaches).
Fluency in English is required and multilingual ability is a plus.
Education & Experience
M.S, Ph.D. in Computer Science or a related field, or equivalent experience.
Additional Requirements
Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.