Member of Technical Staff, Foundation Models
Odyssey, Palo Alto +2
What you will do
- Learn what makes large real-time world models tick. Understand how data, architecture, scale, and diffusion algorithms interact.
- Run scaling studies and use them: fit scaling laws over model size, data, and compute, and let them pick the next large run rather than intuition alone.
- Own world model training at scale, large distributed runs across thousands of GPUs, the data mixtures that feed them, and the loss and stability work that keeps them alive for weeks.
- Implement state of the art ML algorithms, define metrics, and relentlessly iterate on leaderboards.
- Work end to end across the stack, from data pipelines and tokenizers through training to real-time inference and evaluation.
- Be part of a team that is defining and leading the world model space.
- Exploit the latest features on modern GPUs to increase training and inference efficiency.
- Take ownership of the full ML stack, including the core frameworks that Odyssey researchers and product engineers alike rely on.