Pioneer the next frontier in AI
Odyssey is a curious, passionate research-driven team pioneering general-purpose world models. We're working at the intersection of research, systems, compute, and product to engineer magic
Odyssey is a curious, passionate research-driven team pioneering general-purpose world models. We're working at the intersection of research, systems, compute, and product to engineer magic. Join us!

Our mission
We learn the world to make it better
We're an AI lab pioneering general world models, and believe a new and powerful form of intelligence will emerge from learning all the beauty, physics, and intelligence of our world. It's our responsibility to leave the world a better place than we found it
Our mission
We learn the world to make it better
We're an AI lab pioneering general world models, and believe a new and powerful form of intelligence will emerge from learning all the beauty, physics, and intelligence of our world. It's our responsibility to leave the world a better place than we found it
Our mission
We learn the world to make it better
We're an AI lab pioneering general world models, and believe a new and powerful form of intelligence will emerge from learning all the beauty, physics, and intelligence of our world. It's our responsibility to leave the world a better place than we found it
The benefits of Odyssey
Why join our team?
There are meaningful challenges to overcome
There are meaningful challenges to overcome
You'll have the opportunity to do truly original science, on meaningful, world-changing problems
You'll have the opportunity to do truly original science, on meaningful, world-changing problems
We prize autonomy and ownership
If you desire the freedom to do deep work, and crave ownership and accountability, you'll love it here
We prize autonomy and ownership
If you desire the freedom to do deep work, and crave ownership and accountability, you'll love it here
Our compensation is competitive
Our compensation is competitive
Our compensation and equity grants reflect the breakthroughs necessary to achieve our mission
Our compensation and equity grants reflect the breakthroughs necessary to achieve our mission
You're surrounded by strong peers
You're surrounded by strong peers
You'll collaborate with researchers and engineers from leading labs who have driven some of the most meaningful advancements in AI
You'll collaborate with researchers and engineers from leading labs who have driven some of the most meaningful advancements in AI
Explore a career with us
At our offices in Palo Alto, London, and Zurich
Engineering
Member of Technical Staff, Research Engineer
Member of Technical Staff, Infrastructure Engineer
Engineering
Member of Technical Staff, ML Performance
Member of Technical Staff, Data Platform Lead
Engineering
Engineering
Member of Technical Staff, Research Engineer
Member of Technical Staff, ML Performance
Member of Technical Staff, Infrastructure Engineer
Member of Technical Staff, Data Platform Lead
Operations
Principal Technical Recruiter - Palo Alto
Recruiting & Operations Coordinator
Engineering
Head of Data Operations
Data Program Manager
Operations
Engineering
Principal Technical Recruiter - Palo Alto
Head of Data Operations
Recruiting & Operations Coordinator
Data Program Manager
Our team is recruited from






We're backed by




Elad Gil
Jeff Dean
Guillermo Rauch
Garry Tan
Our team is recruited from






We're backed by




Elad Gil
Jeff Dean
Guillermo Rauch
Garry Tan
Our team is recruited from






We're backed by




Elad Gil
Jeff Dean
Guillermo Rauch
Garry Tan
Meet our leadership team
A team with deep roots in frontier AI, RL, and autonomous systems
World Model
Odyssey-2
Our most powerful general purpose world model yet, materially advancing the state-of-the-art in physical accuracy of world models

World Model
Starchild-1
A step beyond world models that learn only from visual observation, toward systems that learn from richer multimodal interaction with the world

World Model
Agora-1
A multi-agent world model, enabling multiple participants—human or AI—to share and interact within the same world simulation in real-time

Reinforcement Learning
PROWL
A novel RL-driven adversarial framework where an RL agent explores game environments with the objective to improve world model performance

World Model
Odyssey-2
Our most powerful general purpose world model yet, materially advancing the state-of-the-art in physical accuracy of world models

World Model
Starchild-1
A step beyond world models that learn only from visual observation, toward systems that learn from richer multimodal interaction with the world

World Model
Agora-1
A multi-agent world model, enabling multiple participants—human or AI—to share and interact within the same world simulation in real-time

Reinforcement Learning
PROWL
A novel RL-driven adversarial framework where an RL agent explores game environments with the objective to improve world model performance

World Model
Odyssey-2
Our most powerful general purpose world model yet, materially advancing the state-of-the-art in physical accuracy of world models

World Model
Starchild-1
A step beyond world models that learn only from visual observation, toward systems that learn from richer multimodal interaction with the world

World Model
Agora-1
A multi-agent world model, enabling multiple participants—human or AI—to share and interact within the same world simulation in real-time

Reinforcement Learning
PROWL
A novel RL-driven adversarial framework where an RL agent explores game environments with the objective to improve world model performance

World Model
Odyssey-2
Our most powerful general purpose world model yet, materially advancing the state-of-the-art in physical accuracy of world models

World Model
Starchild-1
A step beyond world models that learn only from visual observation, toward systems that learn from richer multimodal interaction with the world

World Model
Agora-1
A multi-agent world model, enabling multiple participants—human or AI—to share and interact within the same world simulation in real-time

Reinforcement Learning
PROWL
A novel RL-driven adversarial framework where an RL agent explores game environments with the objective to improve world model performance






