ML Agent Engineer
Core
Design and implement high-quality agent harnesses, simulation systems, and tooling for breakthrough AI agents, reinforcement learning, and simulation environments.
Role type
Senior IC ML Agent Engineer (Research & Systems)
Builds
AI agent systems, simulation environments, and evaluation frameworks for the Apple ecosystem
Domain
Artificial Intelligence / Machine Learning / Robotics
Deliverable
production ML models
Required skills
Python, distributed ML systems, ML modeling frameworks (PyTorch, Tensorflow), end-to-end ML system deployment, training and inference system maintenance
Preferred skills
macOS/iOS development, personal experimentation with AI agents
Technologies
PyTorch, Tensorflow
Responsibilities
Design agent harnesses and simulation systems; build and maintain training and inference systems; develop evaluation frameworks; ship ML systems end-to-end from data curation to production monitoring
Seniority
Senior, hands-on IC