Member of Technical Staff, Research Scientist

About the role

Odyssey is an AI lab pioneering general-purpose world models: causal, multimodal systems that learn to predict and interact with the world over long horizons, while generating real-time, interactive simulations from any starting point. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond.

Responsibilities

• Pursue original research into the foundations of world models: representation, temporal coherence, causality, control, and long-horizon imagination.
• Formulate and own an independent research agenda: identifying unsolved questions, designing hypotheses, and developing algorithms that could redefine what these models can do.
• Explore new architectures, learning objectives, and training paradigms that move beyond today's diffusion and transformer approaches.
• Develop conceptual frameworks and experimental systems that deepen our understanding of how models perceive and respond to user intent and real-world dynamics.
• Collaborate closely with our engineering and infrastructure teams to turn foundational insights into prototypes that demonstrate new capabilities, not just incremental improvements.
• Contribute to the scientific culture of the lab: publishing, mentoring, and engaging with the broader research community to shape the field of general-purpose world models.

Requirements

• A researcher with deep expertise in machine learning and a track record of original contributions to generative modeling, video synthesis, multimodal learning, or related areas.
• Experienced in conducting long-horizon, exploratory research that produces conceptual and algorithmic breakthroughs beyond scaling improvements alone.
• Comfortable working from first principles: defining new problems, designing experiments to test them, and building minimal systems to prove what's possible.
• Motivated by understanding as much as by performance: you care about how and why models work, not only that they do.
• Thrives in a small, focused lab environment that values autonomy, deep thinking, and tight research collaboration.
• Passionate about establishing the scientific underpinnings of a new medium-helping define how AI perceives, learns, and interacts through pixels over the next decade.

Benefits

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Company Intel

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