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Who we are
Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond.
Odyssey’s founders previously pioneered the most complex application of physical AI: self-driving cars. They’ve now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD).
Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines.
About the role
The AI Residency is built for a different kind of person: someone who's likely post-MS or equivalent, with real evidence they can do serious ML work, but who isn't yet operating at the level of independent, publication-driving science. You may not have direct experience in world models, generative video, multimodal learning, robotics, or multi-agent systems specifically, what matters more is that you're sharp, relentless, and capable of building that expertise fast, embedded alongside people who already have it.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Residents work directly inside our core team projects, not on a side track. The work doesn't need to be publishable. It needs to move our actual research roadmap forward, and it needs to turn you into a stronger researcher and engineer by the time you leave. Residents who excel over the course of the program are extended full-time offers to join Odyssey permanently.
What you'll do
- Work embedded within one of our research pods on a live project, whether that's world simulation, multimodal generation, robotics, or multi-agent systems
- Take on real, scoped pieces of our roadmap under the guidance of senior researchers and engineers, not isolated side projects
- Run experiments, build and debug training and evaluation pipelines, and iterate quickly on ideas with real compute behind them
- Contribute to the models we ship, and see your work show up in systems used by real people
- Learn the full loop of frontier research: hypothesis, implementation, experimentation, and honest evaluation of what worked and what didn't
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Who you are
- Post-MS or equivalent experience, with some demonstrated evidence of ML research ability (coursework, a thesis, prior internships, competitive results, open-source contributions, or similar)
- Strong fundamentals in machine learning and software engineering, and genuinely fast at picking up new subfields
- Not necessarily experienced yet in world models, generative video, multimodal learning, robotics, or multi-agent systems, but hungry to build that expertise on the job
- Comfortable with ambiguity and a fast-moving, high-ownership environment; you don't need everything specified for you to make progress
- Able to work in person at one of our offices in Palo Alto, London, or Zurich for the duration of the residency
- Genuinely motivated by Odyssey's mission: discovering the GPT-3 moment for world models
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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