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

We're looking for engineers who love the craft of building: people who write elegant, scalable machine learning code, care about performance, and deeply understand the research to shape it. You move fluidly between modeling and systems, are are unafraid to tackle ambiguous technical challenges, and take pride in building the infrastructure and tools that make breakthroughs possible

Member of Technical Staff, Infrastructure Engineer

We are looking for an engineer who thrives on building the engines that make groundbreaking research and products possible. You think in systems, love performance, and get energy from turning theoretical bottlenecks into beautifully efficient reality. You're excited to design and support infrastructure not just for scale, but for speed, creativity, and discovery. You want to build the compute substrate that lets Odyssey's world models imagine, act, and interact in real time

Engineering

Member of Technical Staff, ML Performance

We're seeking those who are obsessed with gaining every last drop of performance from complex systems. We're building inference infrastructure to scale to hundreds of thousands of users within a year, while also working with massive, ever-growing datasets and models in training. Your focus will be ensuring our models deliver exceptional speed, reliability, and scalability in both the training and inference phases, optimizing efficiency to minimize TFLOPS per user and training compute cost

Member of Technical Staff, Data Platform Lead

We need a deeply experienced Data Platform Lead to take full ownership of our data practice. This is a crucial technical leadership position focused on architecture, strategy, and getting things done. You should be an expert with serious, hands-on data engineering chops, capable of defining the long-term architectural vision while still diving into the code. Success in this role requires a complete understanding of the data lifecycle: from partnering with Operations to source data, designing robust data recipes and ensuring the resulting data assets are optimized for our world models

Engineering

Engineering

Member of Technical Staff, Research Engineer

We're looking for engineers who love the craft of building: people who write elegant, scalable machine learning code, care about performance, and deeply understand the research to shape it. You move fluidly between modeling and systems, are are unafraid to tackle ambiguous technical challenges, and take pride in building the infrastructure and tools that make breakthroughs possible

Member of Technical Staff, ML Performance

We're seeking those who are obsessed with gaining every last drop of performance from complex systems. We're building inference infrastructure to scale to hundreds of thousands of users within a year, while also working with massive, ever-growing datasets and models in training. Your focus will be ensuring our models deliver exceptional speed, reliability, and scalability in both the training and inference phases, optimizing efficiency to minimize TFLOPS per user and training compute cost

Member of Technical Staff, Infrastructure Engineer

We are looking for an engineer who thrives on building the engines that make groundbreaking research and products possible. You think in systems, love performance, and get energy from turning theoretical bottlenecks into beautifully efficient reality. You're excited to design and support infrastructure not just for scale, but for speed, creativity, and discovery. You want to build the compute substrate that lets Odyssey's world models imagine, act, and interact in real time

Member of Technical Staff, Data Platform Lead

We need a deeply experienced Data Platform Lead to take full ownership of our data practice. This is a crucial technical leadership position focused on architecture, strategy, and getting things done. You should be an expert with serious, hands-on data engineering chops, capable of defining the long-term architectural vision while still diving into the code. Success in this role requires a complete understanding of the data lifecycle: from partnering with Operations to source data, designing robust data recipes and ensuring the resulting data assets are optimized for our world models

Operations

Principal Technical Recruiter - Palo Alto

Every role is high-impact and every hire is visible to the founders and the technical team, so this feels closer to executive recruiting than high-volume technical sourcing. You'll work directly with research leads, engineering managers, and the founders to identify, attract, and close exceptional talent in the most competitive market in technology

Recruiting & Operations Coordinator

This is a critical people & operations role at Odyssey. You'll sit at the intersection of recruiting, leadership support, and internal operations, enabling the company to hire great people and run smoothly as we scale - quickly

Engineering

Head of Data Operations

We need a senior data operations leader who can own the entire data lever for Odyssey's world models. This person deeply understands what multimodal data looks like across gaming and robotics, knows the difference between fine-tuning expert networks and acquiring video, audio, and egocentric datasets, and has the technical depth to have contributed to research themselves. You'll shape our data strategy, close partnerships, manage a multi-million dollar budget, and build an organisation that could scale to hundreds of people. This is a strategic, highly autonomous role in a company where everyone - including ops - is deeply technical

Data Program Manager

The Data Program Manager is the connective tissue between research, vendors and the data flywheel. You are responsible for understanding our data needs by being deep in frontier research. You are responsible for presenting a credible data roadmap to the research, applied ML, and leadership and keeping stakeholders abreast of the pipeline and plans. You also own inbound requirements and turn those into a backlog the Data Operations team can execute against. The right person thinks in process, has strong opinions, and can hold both people (internal and external) and plans accountable

Operations

Engineering

Principal Technical Recruiter - Palo Alto

Every role is high-impact and every hire is visible to the founders and the technical team, so this feels closer to executive recruiting than high-volume technical sourcing. You'll work directly with research leads, engineering managers, and the founders to identify, attract, and close exceptional talent in the most competitive market in technology

Head of Data Operations

We need a senior data operations leader who can own the entire data lever for Odyssey's world models. This person deeply understands what multimodal data looks like across gaming and robotics, knows the difference between fine-tuning expert networks and acquiring video, audio, and egocentric datasets, and has the technical depth to have contributed to research themselves. You'll shape our data strategy, close partnerships, manage a multi-million dollar budget, and build an organisation that could scale to hundreds of people. This is a strategic, highly autonomous role in a company where everyone - including ops - is deeply technical

Recruiting & Operations Coordinator

This is a critical people & operations role at Odyssey. You'll sit at the intersection of recruiting, leadership support, and internal operations, enabling the company to hire great people and run smoothly as we scale - quickly

Data Program Manager

The Data Program Manager is the connective tissue between research, vendors and the data flywheel. You are responsible for understanding our data needs by being deep in frontier research. You are responsible for presenting a credible data roadmap to the research, applied ML, and leadership and keeping stakeholders abreast of the pipeline and plans. You also own inbound requirements and turn those into a backlog the Data Operations team can execute against. The right person thinks in process, has strong opinions, and can hold both people (internal and external) and plans accountable

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

Oliver Cameron

Co-Founder & CEO

Oliver Cameron

Co-Founder & CEO

Jeff Hawke

Co-Founder & CTO

Jeff Hawke

Co-Founder & CTO

James Grieve

VP, Engineering

James Grieve

VP, Engineering

Oliver Cameron

Co-Founder & CEO

Oliver Cameron

Co-Founder & CEO

Jessica Inman

VP, GTM & Operations

Jessica Inman

VP, GTM & Operations

Fabian Güra

Distinguished Engineer

Fabian Güra

Distinguished Engineer

Oliver Cameron

Co-Founder & CEO

Oliver Cameron

Co-Founder & CEO

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