ML Engineer, Apple Foundation Models

Join the team shaping the data foundation and intelligence for Apple's frontier foundation models. We believe that breakthrough AI capabilities are driven not only by model architecture and scale, but by the quality, diversity, and intelligence of the data used to train them. As part of the Apple Foundation Model team, you will help define how next\-generation foundation models learn, reason, plan, and interact with the world, powering intelligent experiences used by billions of people. This is a rare opportunity to work at the intersection of cutting\-edge AI research, large\-scale training and data systems, and impactful consumer products. **Description** s a member of Apple's Foundation Models team, you will develop the data strategies, pipelines, and methodologies that drive model capability across the full training lifecycle, including pre\-training, mid\-training, and post\-training. You will work closely with researchers, engineers, and product teams to identify capability gaps, design data\-centric solutions, and create high\-quality training signals for reasoning, agentic behavior, multimodal understanding, tool use, and alignment. Your work may span large\-scale data curation, synthetic data generation, data recipe development, model ablation, benchmark\-driven optimization, reward modeling, evaluation systems, and data flywheels that continuously improve model performance. Every dataset, evaluation, and insight you contribute will directly influence the capabilities of the foundation models powering Apple's next generation of intelligent experiences.","responsibilities":"Drive data strategy and mixture design across the foundation model training lifecycle, including pre\-training, mid\-training, and post\-training. Design and build scalable data generation, curation, and quality assessment systems for text, multimodal, reasoning, and agentic training data. Develop synthetic data pipelines that enable models to learn complex cap