Machine Learning Engineer – World Model
$150k - $450k • Remote • Sunnyvale, CA • Full-time
Posted 5mo ago
Remote Work Policy
Fully remote
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
The Institute of Foundation Models is a research lab focused on building, understanding, using, and managing the risks associated with foundation models. Our goal is to advance AI research, cultivate future AI developers, and make significant contributions to a knowledge-based economy. You will work on cutting-edge foundation model training with leading researchers, data scientists, and engineers, addressing critical challenges in AI development and contributing to AI solutions that can transform industries. The AllWorld Team, within the Institute of Foundation Models, is developing PAN (Physical, Agentic, and Networked) world models, which are next-generation foundation models designed to enable machine intelligence beyond language. Our mission is to overcome the core challenges of world modeling and establish a new framework for next-generation machine reasoning.
Responsibilities
- Design and operate ML infrastructure and MLOps systems to support the research environment.
- Build scalable, reliable, and observable cloud infrastructure.
- Collaborate with researchers to support data pipelines, experimentation, and evaluation workflows.
Requirements
- Experience in ML infrastructure and MLOps.
- Experience building scalable, reliable, and observable cloud infrastructure.
- Experience supporting data pipelines, experimentation, and evaluation workflows.