Imagine what you could do here. At Apple, new ideas have a way of becoming great products very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Apps Engineering team, empowering millions of writers, musicians, filmmakers, photographers, designers and creators worldwide, is seeking a data engineer to fuel our LLM development workflows by working on data curation and building tools and infrastructure to maintain and evaluate datasets. You'll work closely with machine learning engineers, developing deep understanding of data quality, characteristics, and curation needs. You'll also create web-based tools for data collection, evaluation, and visualization systems that enable our team to develop and deploy LLM workflows across diverse environments while maintaining Apple's high standards for quality, performance, and creative ethics.

Make a difference. As a Data Engineer specializing in LLM Workflows on the Apps Engineering team, you'll work directly with large-scale datasets by exploring their characteristics, evaluating their quality, and maintaining them throughout the ML development lifecycle. You'll dive deep into data for LLM workflows to understand what makes datasets effective for model training and fine-tuning adapters. Beyond dataset work, you'll design and build web-based tools that support data collection, model evaluation, and result visualization through intuitive interfaces. You'll develop APIs and data pipelines that connect data collection tools with ML training infrastructure, creating seamless workflows for model development and fine-tuning. This role requires strong Python skills for both data analysis and web development, combined with curiosity about machine learning fundamentals and LLM workflows.