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Firstintuition is seeking a Research Scientist to define technical directions and innovate within our physics-based world model. This role requires managing training infrastructure, model deployment, and integrating models into robotics platforms.
The ideal candidate will have a strong background in 3D Gaussian Splatting and generative models, alongside collaboration, ownership, and problem-solving skills. We aim to build advanced technology that reshapes how robotics interacts with physics and the environment.
We\'re a small team building a foundational, physics-based world model — and the surfaces that ride on it: robots, worlds, drama, agents. If any of that resonates, send us a note.
Set the technical direction for the world model. Mix of ML research, engineering taste, and the courage to commit to a long-horizon bet. Experience with 3D Gaussian Splatting or large-scale generative models expected.
Build the substrate. Train and ship the core models. Own training infra, evaluation, and the loop from a paper to a shipped model. Strong background in 3D GS or generative models (diffusion, video, world models).
Bring the world model inside robotics platforms. Perception, prediction, policy — one model, all three. Background in 3D GS, generative world models, or robotics learning.
A CS background or equivalent depth — by degree or by doing.
You spot the problem and drive the fix before anyone asks.
You absorb new ground quickly and thrive when the pace is high.
You make the team around you better.
You take results personally and do whatever the work demands.
Steady and clear-headed when things get hard or ambiguous.
Open and creative, yet questioning — never too quick to trust.
Thoughtful, informed opinions on technology and where it\'s going.