Machine Learning Research Engineer, Apple Intelligence

Description

Minimum Qualifications

• 5-8yrs of machine learning expertise.
• Strong programming using Python/Objective C/Swift.
• Good exposure to Deep Learning libraries like PyTorch and TensorFlow.
• Thorough experience with common NLP algorithms and applications, including tokenization, language modelling, text decoding, text classifier etc.,

Preferred Qualifications

• Actively exercising machine learning techniques, including implementing basic optimizers and regularizations; formulating and implementing loss functions for given tasks, applying insightful parameter tuning in model training and evaluation, reproducing and revising state-of-the-art research experiments; addressing accuracy and performance bottlenecks in distributed training and inference, and benchmarking different model compressing methods
• Actively programming with high-quality codes across complex and large repositories, including implementing new optimizer or loss functions, algorithm optimizations for critical performance or accuracy, refactoring or redesigning of existing code-base for improved robustness and flexibility, processing large data set efficiently and accurately, establishing automated synthesis/training/evaluation pipeline across multiple sets of internal and external APIs, and applying common object-oriented design patterns