Senior Machine Learning Engineer
Core
Architect, design, and deploy LLM-powered systems for personalization, intelligent automation, and customer understanding across Apple's services ecosystem.
Role type
Senior IC machine learning engineer (Generative AI/LLM)
Builds
LLM-powered systems for personalization, intelligent automation, and customer understanding
Domain
Consumer technology / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
LLM architecture design, deep learning, transformer architectures, fine-tuning, instruction tuning, prompt engineering, Python, PyTorch/TensorFlow, distributed data processing, research-to-production execution
Preferred skills
RAG pipelines, vector-based semantic search, representation learning, model evaluation frameworks, inference optimization (quantization/distillation), reinforcement learning, RLHF, multi-agent orchestration
Technologies
PyTorch, TensorFlow, Spark
Responsibilities
Architect and deploy LLM-powered systems; lead research in large-scale representation learning and semantic modeling; develop taxonomies and embeddings; drive LLM fine-tuning and safety alignment; explore parameter-efficient adaptation and active learning; collaborate to translate ambiguous problems into robust ML systems; build production-grade solutions for reasoning over text and behavioral signals; contribute to patents and publications; mentor researchers
Seniority
Senior, hands-on IC with research leadership