AIML - Machine Learning Engineer, Foundation Models
Core
Design and implement scalable, reliable, high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains to power intelligent experiences on Apple silicon.
Role type
Senior IC machine learning engineer (foundation models)
Builds
Production-ready AI solutions and frontier foundation models optimized for Apple OS
Domain
Artificial Intelligence / Deep Learning / Apple Silicon
Deliverable
production ML models
Required skills
Python, Jax, PyTorch, TensorFlow, Distributed training, Model optimization, Machine learning infrastructure, Large-scale model training and deployment, Kubernetes, Docker, Cloud platforms (AWS, GCP, Azure), Distributed computing frameworks
Preferred skills
Foundation models, Large language models, Multi-modal AI systems, Research-to-production transformation, On-device machine learning techniques
Responsibilities
Design and implement scalable ML infrastructure for foundation models; Collaborate to productionize state-of-the-art AI algorithms; Optimize models for performance, efficiency, and on-device intelligence; Implement ML systems with stringent privacy and security requirements; May manage a small team of engineers