Research Scientist

First Intuition

San Francisco, Northern (CA, KY)

Hybrid

USD 100,000 - 130,000

Full time

14 days+
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Job summary

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.

Qualifications

  • Technical direction setting in world model development.
  • Experience with ML and robotics integration.
  • Strong foundation in 3D Gaussian Splatting and generative models.

Responsibilities

  • Manage training infra and evaluation for core models.
  • Own the training and deployment process from paper to production.
  • Integrate world model into robotics platforms.

Skills

3D Gaussian Splatting
Large-scale generative models
ML research
Robotics learning
Collaboration

Education

CS background or equivalent depth

Job description

Build the next world model.

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.

Open roles
  1. Research Scientist

    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.

  2. High agency

    You spot the problem and drive the fix before anyone asks.

  3. Fast learner

    You absorb new ground quickly and thrive when the pace is high.

  4. Kind & collaborative

    You make the team around you better.

  5. Ownership

    You take results personally and do whatever the work demands.

  6. Composure

    Steady and clear-headed when things get hard or ambiguous.

  7. Curious, but skeptical

    Open and creative, yet questioning — never too quick to trust.

  8. A point of view

    Thoughtful, informed opinions on technology and where it\'s going.

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