Research Scientist (3D Diffusion)

About World Labs:

We build foundational world models that can perceive generate reason and interact with the 3D world unlocking AIs full potential through spatial intelligence by transforming seeing into doing perceiving into reasoning and imagining into creating.

We believe spatial intelligence will unlock new forms of storytelling creativity design simulation and immersive experiences across both virtual and physical worlds.

We bring together a world-class team united by a shared curiosity passion and deep backgrounds in technology from AI research to systems engineering to product design creating a tight feedback loop between our cutting-edge research and products that empower our users.

Role Overview

Were looking for a Research Scientist focused on 3D & Sparse Diffusion to develop next-generation generative models that operate natively in 3D or over sparse structured representations. This role is for someone excited about pushing the frontier of diffusion-based generative modeling beyond dense gridsinto point clouds implicit representations multi-view observations and hybrid 2D/3D formulations.

This is a research-forward hands-on role at the intersection of generative modeling 3D representations and scalable learning systems. Youll work closely with other research scientists and engineers to invent evaluate and deploy diffusion models that power high-fidelity 3D generation reconstruction and editing in real-world product settings.

What You Will Do:

• Research and develop 3D-native and sparse diffusion models for generating and refining geometry appearance and scene structure.
• Design diffusion processes over sparse or structured domains (e.g. point clouds implicit fields multi-view features hybrid representations) with an emphasis on efficiency and fidelity.
• Explore novel noise schedules conditioning strategies and sampling algorithms tailored to 3D and sparse data.
• Build end-to-end training pipelines for large-scale diffusion models including data preparation supervision strategies and evaluation metrics.
• Collaborate with 3D reconstruction and modeling teams to integrate diffusion-based components into broader systems for generation reconstruction and editing.
• Analyze model behavior and failure modes specific to sparse and 3D settings and propose principled improvements to robustness and controllability.
• Optimize training and inference performance balancing sample quality compute efficiency and scalability.
• Contribute to the teams research output through publications technical reports and internal knowledge sharing.
• Stay current withand help shapeemerging research directions in generative modeling diffusion and 3D learning.

Key Qualifications:

• 5 years of experience in generative modeling 3D learning or related areas within machine learning research.
• Hands-on experience designing or training diffusion models with demonstrated work on 3D-native sparse or structured representations.
• Strong background in modern 3D representations (e.g. point-based implicit volumetric or hybrid) and their interaction with learning-based models.
• Proficiency in Python and deep learning frameworks (e.g. PyTorch) with experience building research-grade training and evaluation code.
• Solid understanding of probabilistic modeling optimization and large-scale training dynamics.
• Experience publishing at top-tier venues or contributing to influential research or open-source projects in generative modeling or 3D.
• Ability to operate independently in ambiguous research spaces from idea formulation through experimental validation.
• Strong scientific communication skills and a bias toward clarity rigor and reproducibility.
• Enjoy collaborating with interdisciplinary teams spanning research engineering and product.

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and arent afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isnt a sprint; its a marathon with hurdles. Were looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems and using them to empower people.
• Collaborative Spirit: Were building something bigger than any one person. We need team players who can harness the power of collective intelligence.

Were hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If youre ready to work on technology that will reshape how machines perceive and interact with the world World Labs is your launchpad.

Join us and lets make history together.

Equal Opportunity & Pay Transparency

Equal Employment Opportunity

World Labs is an equal opportunity employer. We do not discriminate on the basis of race color religion sex sexual orientation gender identity national origin age disability genetic information veteran status or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

California Pay Transparency

In accordance with California law we disclose the following:

Accommodations & inquiries: