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, Diffusion World Models & Robotics

We are looking for people with a deep interest in improving machine learning algorithms at the intersection of diffusion world models and robotics. Interactive, action-conditioned world models are a cutting-edge research area that is not yet mature. You will be working at the cusp of what's possible, using world models as simulators, feature extractors, and training grounds for real robot policies and model-based RL approaches. Most new experiments here will fail; your focus will be on maximally learning from failed experiments to increase the chances of eventual success on real hardware

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

Engineering

Member of Technical Staff, Research

We hire deeply technical staff working in video generation, multimodal, robotics, autonomous vehicles, and adjacent fields. Whether you're building from scratch, scaling training runs, or working on inference, we want people who can take an idea and make it real

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

Engineering

Member of Technical Staff, Diffusion World Models & Robotics

We are looking for people with a deep interest in improving machine learning algorithms at the intersection of diffusion world models and robotics. Interactive, action-conditioned world models are a cutting-edge research area that is not yet mature. You will be working at the cusp of what's possible, using world models as simulators, feature extractors, and training grounds for real robot policies and model-based RL approaches. Most new experiments here will fail; your focus will be on maximally learning from failed experiments to increase the chances of eventual success on real hardware

Member of Technical Staff, Research

We hire deeply technical staff working in video generation, multimodal, robotics, autonomous vehicles, and adjacent fields. Whether you're building from scratch, scaling training runs, or working on inference, we want people who can take an idea and make it real

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

Operations

Member of Operations Staff, IT Manager

Odyssey Systems is looking for its first dedicated IT owner. You'll be the go-to person for everything technology across our Palo Alto office, and provide remote support and standards for our London and Zurich offices. This is a hands-on role with real ownership: you'll set IT policy, run our systems, and keep our rapidly growing team productive and secure

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 the frontier research space for multi-model methodologies and arxiv papers. 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-ops team can execute against

Engineering

Business Development Lead, Robotics

We're hiring a Strategic Business Development Lead to build our robotics commercialization function from the ground up; identifying opportunities, closing the partnerships that anchor our go-to-market, and hiring the team to scale it

Executive Assistant

Odyssey is seeking someone to support our leadership team across executive logistics, office operations, and day-to-day execution. This is a hands-on, high-trust role for someone who is fast-moving, highly organized, low-ego, and energized by making executives, teams, and offices more effective. You will serve as the CEO's go-to person for all things logistics & execution. You will also own Palo Alto office operations while the team is small, including running the day-to-day experience of our Palo Alto office, making sure it is warm, organized, visitor-ready, and a place where people genuinely want to work

Operations

Engineering

Member of Operations Staff, IT Manager

Odyssey Systems is looking for its first dedicated IT owner. You'll be the go-to person for everything technology across our Palo Alto office, and provide remote support and standards for our London and Zurich offices. This is a hands-on role with real ownership: you'll set IT policy, run our systems, and keep our rapidly growing team productive and secure

Business Development Lead, Robotics

We're hiring a Strategic Business Development Lead to build our robotics commercialization function from the ground up; identifying opportunities, closing the partnerships that anchor our go-to-market, and hiring the team to scale it

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 the frontier research space for multi-model methodologies and arxiv papers. 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-ops team can execute against

Executive Assistant

Odyssey is seeking someone to support our leadership team across executive logistics, office operations, and day-to-day execution. This is a hands-on, high-trust role for someone who is fast-moving, highly organized, low-ego, and energized by making executives, teams, and offices more effective. You will serve as the CEO's go-to person for all things logistics & execution. You will also own Palo Alto office operations while the team is small, including running the day-to-day experience of our Palo Alto office, making sure it is warm, organized, visitor-ready, and a place where people genuinely want to work

Product

Member of Product Staff, Technical Product Manager

We're looking for a Technical Product Manager to own how Odyssey's technology becomes a coherent, usable, and powerful product in the hands of developers and partners. You will define and drive the roadmap across product experience, platform capabilities, and applied research; translate real-world usage into clear priorities; and ensure the company is building the right things, in the right order

Product

VP, Product

We're searching for a world-class product leader to own how Odyssey's technology becomes a coherent, powerful, and revolutionary product in the hands of developers and partners. You will define and drive the roadmap across product experience, platform capabilities, research, and translate real-world usage into clear priorities. You will ensure the company is building the right things, in the right order

Product

Product

Member of Product Staff, Technical Product Manager

We're looking for a Technical Product Manager to own how Odyssey's technology becomes a coherent, usable, and powerful product in the hands of developers and partners. You will define and drive the roadmap across product experience, platform capabilities, and applied research; translate real-world usage into clear priorities; and ensure the company is building the right things, in the right order

VP, Product

We're searching for a world-class product leader to own how Odyssey's technology becomes a coherent, powerful, and revolutionary product in the hands of developers and partners. You will define and drive the roadmap across product experience, platform capabilities, research, and translate real-world usage into clear priorities. You will ensure the company is building the right things, in the right order

Our team is recruited from

We're backed by

Jeff Dean

Chief Scientist, DeepMind

Soumith Chintala

CTO, Thinking Machines

Max Jaderberg

President, Isomorphic Labs

Tim Rocktäschel

Co-Founder, Recursive

Our team is recruited from

We're backed by

Jeff Dean

Chief Scientist, DeepMind

Soumith Chintala

CTO, Thinking Machines

Max Jaderberg

President, Isomorphic Labs

Tim Rocktäschel

Co-Founder, Recursive

Our team is recruited from

We're backed by

Jeff Dean

Chief Scientist, DeepMind

Soumith Chintala

CTO, Thinking Machines

Max Jaderberg

President, Isomorphic Labs

Tim Rocktäschel

Co-Founder, Recursive

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-1

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-1

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-1

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-1

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