Odysseyml
Member of Technical Staff, Research
Palo Alto. Posted 4 months ago
The role
This person will push the capabilities of world models through new architectures, training paradigms, and representations. They will take ideas from hypothesis to working prototype and design experiments, distributed training, and inference systems.
What you will do
- Push what world models can do past current diffusion and transformer approaches.
- Take ideas from hypothesis through experiment to working prototype.
- Design and run experiments, distributed training, and inference systems.
- Ship results into models real users touch.
- Work shoulder-to-shoulder across research and engineering.
- Contribute to the lab's scientific and engineering culture.
- Publish where it matters.
- Build tools that outlast the project.
- Engage with the broader community shaping this field.
Required qualifications
- Deeply technical.
- Track record in generative modelling, multimodal learning (visual, audio, text), model-based RL, computer vision, or similar areas.
- Originated work that moved the field.
- Comfortable working from first principles.
- Can define a problem, design experiments to test it, and build the minimal system that proves what's possible.
- Energized by ambiguity.
- Can operate in areas without precedent and build tools, frameworks, and patterns.
- Have a real view on where this field needs to go next and can defend it.
- Thrive in small, focused teams that value autonomy, speed, and tight collaboration.
About the company
Odyssey is an AI lab pioneering general world models through causal, multimodal systems. The founders previously pioneered self-driving cars and have brought together a research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve.