Machine Learning Engineer – World Modeling
Requirements at a glance
Machine Learning Engineer – World Modeling at Institute of Foundation Models is a full-time role based in Abu Dhabi. It does not mention visa sponsorship. Key skills include C++, Machine learning, Deep learning, and PyTorch. Applications are submitted through Lever.
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Lever
Skills in this posting
- C++
- Machine learning
- Deep learning
- PyTorch
Extracted automatically from the job description. Confirm details in the full posting below.
About the Institute of Foundation Models
The Institute of Foundation Models (IFM) at MBZUAI is a research lab dedicated to meaningful foundation model research — building models from scratch, understanding them deeply, and publishing work that shapes the field. You’ll work alongside world-class researchers and engineers on problems that directly define the models we ship.
Join the PAN world model project — our effort to build world models: foundation models that simulate, predict, and interact with the physical world. As a Machine Learning Engineer, you’ll own the engineering backbone of PAN: large-scale video and simulation data pipelines, distributed training for diffusion transformers, game-engine simulation environments, and world-model integration into robotics — turning research ideas into reliable, scalable systems.
What You'll Do
What We're Looking For
- Full-stack data pipelines — large-scale video data pipelines and/or simulation data collection; annotation and filtering workflows for video / world model training.
- Model training & infrastructure — training large-scale diffusion transformers on large GPU clusters.
- Rendering engines & simulation — Unreal Engine and Blueprint-based gym environments, game-engine integration, building interactive simulated environments.
- World action models & robotics — world action models / video action models, action-conditioned video generation, world-model applications in robotics.