Applied Machine Learning Engineer - Developer Publications
Core
Building and integrating Large Language Model (LLM) evaluation pipelines and agentic workflows into Apple's tools for third-party developers.
Role type
Applied Machine Learning Engineer (LLM & Agentic Workflows)
Builds
Production-grade ML systems, LLM evaluation pipelines, and on-device model solutions for developer tools
Domain
Developer tools, Large Language Models, Agentic AI
Deliverable
production ML models
Required skills
Python, LLM evaluations, agentic workflows, multi-step LLM systems, production ML systems at scale
Preferred skills
Swift, C++, on-device LLMs, Xcode, Apple platform development
Technologies
Python, Swift, C++, Xcode, LLM frameworks
Responsibilities
Building and maintaining LLM evaluation pipelines; Designing and implementing agentic workflows and on-device model solutions; Engaging in code reviews, pair programming, and architecture discussions
Seniority
Mid-Senior, hands-on IC
