Odysseyml
Member of Technical Staff, Applied Research
Palo Alto. Posted 3 months ago
The role
This person will push the capabilities of world models through new architectures, training paradigms, and representations. They will train conditioning methods and control policies, design experiments, and ship results into models used by real users.
What you will do
- Push what world models can do with an emphasis on conditioning and control.
- Train conditioning methods and control policies for action, camera, physics, style, and long-horizon consistency.
- Take ideas from hypothesis through experiment to working prototype.
- Design and run experiments, distributed training, and inference systems.
- Define what controllable means in measurable terms and build evals.
- Work across research, engineering, and product.
- Contribute to the lab's scientific and engineering culture through publishing and building tools.
Required qualifications
- Deeply technical with a track record in world models, generative modeling, video, multimodal learning, large-scale ML systems, or adjacent areas.
- Comfortable working from first principles.
- Fluent across the research-to-application gap.
- Energized by ambiguity.
- Have a real view on where this field needs to go next.
- Thrive in small, focused teams.
Nice to have
- Experience with conditioning, controllability, or learned control policies
About the company
Odyssey is an AI lab pioneering general world models including causal, multimodal systems. The founders previously pioneered applications of physical AI such as self-driving cars.