Research scientist to advance multimodal foundation model architectures, pre‑training, and distillation for Apple.
Locations (2)
Seattle, Washington, United States
Sunnyvale, California, United States
Responsibilities
Investigate fundamental questions about multimodal foundation model design, training, and distillation
Develop and evaluate new model architectures, pre‑training objectives, data strategies, optimization methods, and teacher–student learning techniques
Co‑develop frontier models and efficient models for Apple silicon and on‑device intelligence
Design architectures that distill effectively and study teacher–student training
Develop distillation methods that preserve reasoning, multimodal understanding, instruction following, and other capabilities under constrained model capacity
Requirements
Master’s degree in machine learning, computer science, or a related technical field
Nice to have: Major foundation‑model pre‑training contributions
Nice to have: Architecture experiments influencing large training runs
Nice to have: Model architecture, scaling laws, multimodal pre‑training, optimization, efficient attention, mixture‑of‑experts, state‑space models
