Machine Learning Engineer - Intelligent Quality Systems

Job description

Our team of applied ML and software engineers builds intelligent systems that help Apple's OS software ship faster and with higher quality. We apply state-of-the-art ML, LLMs, computer vision, retrieval systems, and large-scale data analysis throughout the software lifecycle. If you're excited by using ML to solve real, large-scale problems in software quality, we have challenging and meaningful work to do together. Minimum Qualifications: 3+ years of experience with machine learning in academic or professional settings, with demonstrated work on substantial ML projects beyond coursework Strong programming and software engineering skills; ability to write clean, maintainable, production-quality code Practical understanding of ML fundamentals, model training, evaluation, and debugging, and ability to implement algorithms from papers or specifications BS or MS in Computer Science, Machine Learning, Statistics, or a related field Preferred Qualifications: Experience with NLP, large language models, code understanding, or retrieval-augmented generation (RAG) Background in computer vision or multimodal ML Experience building or maintaining data pipelines and ML infrastructure at scale Familiarity with software testing, CI/CD systems, or developer tooling Experience working with large-scale structured or semi-structured data (logs, test results, code diffs) Comfort operating in environments where ground truth labels are noisy, ambiguous, or expensive to obtain