Machine Learning Engineer - Multimodal Intelligence
Core
Building pipelines, infrastructure, and production systems to deploy multimodal foundation models (vision, language, video, audio) on Apple devices.
Role type
Senior IC machine learning engineer (multimodal systems)
Builds
On-device and hybrid execution systems for Apple Intelligence features
Domain
Consumer electronics / Multimodal AI
Deliverable
production ML models
Required skills
Deep learning, Python, PyTorch or JAX, multimodal systems (vision/language/video/audio), rapid prototyping, distributed training pipelines, model optimization for latency/memory/power constraints
Preferred skills
Master's or PhD in CS/CV/ML, deep expertise in multimodal foundation models, translating research to production, large-scale dataset curation, alignment, evaluation
Technologies
PyTorch, JAX, distributed training systems
Responsibilities
Build and scale data curation and training pipelines, fine-tune and optimize large multimodal models, establish reproducible evaluation and regression testing, harden approaches for production deployment under device constraints
Seniority
Senior, hands-on IC
