Description
Apple is hiring a data scientist to develop data strategies, pipelines, and methodologies for foundation models across pre-training, mid-training, and post-training. The role focuses on scalable data generation and curation, synthetic data, model self-improvement, data flywheels, benchmark-driven optimization, reward modeling, evaluation systems, and alignment for reasoning, agentic, multimodal, and tool-use capabilities. Candidates need expertise in LLMs or multimodal LLMs, a publication record or product track record, Python and deep-learning toolkit proficiency, and a Ph.D. or equivalent practical experience.
