Odyssey
Member of Technical Staff, TLM: Research Scientist

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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.
What We're Looking For
As we scale our research ambitions, we need a scientist who doesn't just execute on known problems but defines new ones. This TLM role sits at the intersection of deep technical research and scientific leadership: you'll own a long-horizon agenda, mentor a small group, and help shape what this field becomes.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
What You'll Do
- Define and drive original research into the foundational open problems of world modeling: temporal coherence, causal reasoning, long-horizon prediction, and user-intent alignment.
- Move beyond diffusion and transformer paradigms — design novel architectures, learning objectives, and training frameworks that reframe what generative interactive video can do.
- Build and mentor a small, high-output research group, guiding work from hypothesis through experimental validation to prototype demonstration.
- Translate foundational breakthroughs into stable prototypes in close collaboration with engineering. Not incremental improvements, but genuinely new capabilities.
- Publish at top-tier venues (NeurIPS, ICML, ICLR) and actively engage the broader research community to help Odyssey shape the direction of the field.


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Who You Are
- A staff-level or senior ML researcher with a strong publication record in generative modeling, video synthesis, multimodal learning, or adjacent areas.
- Someone who works from first principles: you define the problem before reaching for a method, and you build minimal systems to prove what's possible before scaling.
- Motivated by understanding: you care about why models work, not just that they do.
- Experienced leading or mentoring a small research group, with a track record of taking projects from open question to publication or deployment.
- Comfortable in a focused, autonomous lab environment where deep thinking and tight collaboration are the norm.
- Excited to help establish the scientific foundation of a new medium, one that will define how AI perceives and interacts through pixels over the next decade.
“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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