Institute of Foundation Models
Research Scientist - World Modeling
$150K–$450K
Sunnyvale, CA · On-site · Full-time · Posted May 2, 2025
- Experience
- Experience required; no number of years specified.
- Education
- MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience.
About the job
Develops physical-world models and the training, data, evaluation, and inference systems needed to make them scalable and capable of real-time interaction.
What you'll do
- Develop and train foundational world models; collaborate with engineering and data teams on large-scale cluster training.
- Build evaluation metrics, benchmarks, and scalable data annotation pipelines.
- Optimize inference efficiency for real-time interaction.
What they ask for
- Experience training large-scale LLMs or diffusion models on large clusters.
- Hands-on experience with state-of-the-art video generative models and large-scale video data pipelines.
- Experience accelerating diffusion-model inference; strong deep-learning systems expertise, including PyTorch.
- Published research in relevant domains at top-tier conferences or journals.
Pay
USD 150,000–450,000 per year base salary
Tools
LLMs, Diffusion Models, PyTorch, Sora, Veo2, MovieGen, CogVideoX
AI focus
Research and develop PAN world models, including video pretraining, visual tokenization, scaling systems, inference optimization, and quantitative evaluation.
Model-written summary · the original posting is authoritative