AI Resident

Odyssey; Palo Alto (CA); Presencial; USD 90.000 - 120.000; Jornada completa

Descripción de la vacante

Odyssey invites applicants for its AI Residency—a program designed for post-MS researchers who can demonstrate ML research ability, with strong ML and software fundamentals, and a drive to rapidly build expertise in world models and related areas.

You will work embedded in a research pod on live projects—world simulation, multimodal generation, robotics, or multi-agent systems—guided by senior researchers, with the aim of earning an extended full-time offer at Odyssey.

Formación

• Post-MS or equivalent experience with evidence of ML research ability (courses, thesis, internships, results, open-source)
• Strong fundamentals in machine learning and software engineering
• Willingness to quickly build expertise in world models, generative video, multimodal learning, robotics, or multi-agent systems

Responsabilidades

• Work embedded within a research pod on live projects (world simulation, multimodal generation, robotics, or multi-agent systems)
• Take on scoped pieces of the roadmap under guidance of senior researchers/engineers
• Run experiments, build/train/evaluate pipelines, iterate with real compute
• Contribute to the models shipped and see results in real systems
• Learn full frontier research loop: hypothesis, implementation, experimentation, honest evaluation

Conocimientos

ML research ability

Strong fundamentals in ML

Software engineering fundamentals

Descripción del empleo

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

Our staff is expected to be in office at least three times a week. A lot of our progress comes from working through problems together, and we want you in the room for that.