Applied Machine Learning Engineer, Apple Intelligence
Core
Architect and deliver scalable, production-grade AI solutions for Apple Intelligence, integrating generative modeling techniques into systems serving billions of users.
Role type
Senior Applied Machine Learning Engineer (Generative AI)
Builds
Production-grade AI agents, multi-agent systems, and RAG architectures for international markets
Domain
Generative AI, NLP, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Python, C/C++, Objective-C, Swift, Generative AI coding tools (Claude/Cursor/Codex), NLP (tokenization, language modeling, decoding, classification), multi-agent systems, RAG architectures, debugging, systems thinking
Preferred skills
Test/evaluation environment control, ML/LLM/agent system evaluation metrics, production-grade AI agent operations, deep learning libraries (PyTorch, TensorFlow), developer tools/platforms
Technologies
Python, C/C++, Objective-C, Swift, PyTorch, TensorFlow, Claude, Cursor, Codex
Responsibilities
Integrate generative modeling techniques into production systems, own components across the pipeline from data preprocessing to deployment, build and operate production-grade AI agents at scale, debug and troubleshoot production systems
Seniority
Senior, hands-on IC