Senior Machine Learning Engineer
Core
Build and optimize on-device Large Language Models (LLMs) and adapter technologies for Apple's Siri and Apple Intelligence to deliver personal, contextual, and private user experiences at scale.
Role type
Senior IC machine learning engineer (on-device LLMs)
Builds
High-efficiency on-device LLMs, modular adapter architectures, and production-grade deep learning systems for Apple devices.
Domain
Consumer electronics / Generative AI / On-device Machine Learning
Deliverable
production ML models
Required skills
Large Language Model training and fine-tuning, Parameter-Efficient Fine-Tuning (PEFT/LoRA), Python, PyTorch, DeepSpeed, Megatron-LM, Hugging Face, vLLM, data curation, automated evaluation pipelines, root-cause failure analysis, cross-functional collaboration
Preferred skills
Edge-AI deployment (CoreML, ONNX, TensorRT-LLM), Apple Neural Engine / Metal optimization, agentic workflows, multi-turn reasoning, function/tool-calling in compact models, top-tier conference publications (NeurIPS, ICML, ICLR, ACL, EMNLP)
Technologies
CoreML, ONNX, TensorRT-LLM, Apple Neural Engine, Metal, LoRA, SFT, DPO, RLHF
Responsibilities
Design, train, and fine-tune high-performance on-device LLMs and modular adapter architectures; Innovate and implement techniques for prompt/context compression, KV cache optimization, and efficient token representations; Build and maintain rigorous offline and online evaluation pipelines; Partner with platform engineers to land models and adapters into production builds.
Seniority
Senior, hands-on IC
