AI Resident

Odyssey; Greater London; On-site; GBP 40,000 - 52,000; Full time

Job summary

Odyssey is an AI lab building general world models. The AI Residency invites post-MS researchers to join embedded teams, work on live projects across simulation, multimodal generation, robotics, or multi-agent systems.

Residents collaborate with senior researchers, run experiments, and iterate with real compute. The program offers a path to a permanent role at Odyssey for successful participants, emphasizing rapid skill growth and rigorous evaluation.

Qualifications

• Post-MS or equivalent experience with evidence of ML research work (thesis, internships, open-source, etc).
• Strong fundamentals in ML and software engineering; ability to pick up new subfields quickly.
• Not necessarily world models or robotics experience, but eager to build that expertise on the job.
• Able to work in person at an office in London for the residency duration.
• Motivated by Odyssey's mission: discovering the GPT-3 moment for world models.

Responsibilities

• Work embedded within a research pod on a live project (world simulation, multimodal generation, robotics, or multi-agent systems).
• Tackle scoped roadmap tasks under guidance of senior researchers and engineers.
• Run experiments, build and debug training/evaluation pipelines, iterate with compute behind you.
• Contribute to models shipped and see impact in real-world usage.
• Learn the full frontier research loop: hypothesis, implementation, experimentation, evaluation.

Skills

ML fundamentals

Software engineering

Rapid learning

Research mindset

Education

Post-MS or equivalent experience

Job description

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

The AI Residency is built for 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. 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

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

The Process

As part of your application, please submit a short research proposal for a project you’d like to pursue. This should be at most a page and it is intended to help scope projects. Projects will be refined with successful applicants and the Odyssey research team.