LinkedIn has implemented multi-teacher distillation techniques to accelerate AI model training for its job search functionality, achieving an 8x improvement in training speed. The approach leverages multiple teacher models to transfer knowledge more efficiently to student models, enhancing the performance of job matching algorithms. This optimization allows LinkedIn to deliver faster model iterations while maintaining search quality for its platform’s recruitment features.