Machine Learning Engineer, Siri Speech
Core
Design and develop machine learning models and fine-tune deep learning systems for speaker recognition and multimodal understanding to power natural voice experiences for Apple's AI assistant.
Role type
Senior IC machine learning engineer (speech & multimodal LLMs)
Builds
Production-quality ML models for Siri AI across iOS, iPadOS, macOS, watchOS, tvOS, and visionOS
Domain
Consumer electronics / Speech AI / Large Language Models
Deliverable
production ML models
Required skills
Large generative models (LLMs), Machine learning frameworks (JAX, PyTorch), Python, Speaker recognition, Multimodal modeling, Reinforcement learning, AI agents, Large scale ML training/evaluation, Foundation models
Preferred skills
M.S. in EE/CS, 1-2+ years ML experience, Data-centric vision
Technologies
JAX, PyTorch, Python
Responsibilities
Develop multilingual, multimodal LLMs to improve speech and conversational experiences; Advance the state of the art in multimodal modeling; Design and build robust speech-centric LLM systems; Collaborate with cross-functional partners to deliver scalable ML products; Stay current with emerging research and define future AI direction
