JobPosting
title: Research Scientist (Generative Modeling)
description: We are seeking a talented Research Scientist with a strong background in generative modeling, particularly diffusion models, to join our modeling team. This role is ideal for candidates with deep expertise in diffusion models applied to images, videos, or 3D assets and scenes. While experience in one or more of the following areas is a strong plus: large-scale model training, research in 3D computer vision. You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment. Key responsibilities include designing, implementing, and training large-scale diffusion models for generating 3D worlds, developing and experimenting with large-scale diffusion models to add novel control signals, adapting to target aesthetic preferences, or distilling for efficient inference, collaborating closely with research and product teams to understand and translate product requirements into effective technical roadmaps, contributing hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment, continuously exploring and integrating cutting-edge research in diffusion and generative AI more broadly, acting as a key technical resource within the team, mentoring colleagues, and driving best practices in generative modeling and ML engineering. Ideal candidate profile includes 3+ years of experience in generative modeling or applied ML roles, extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative models, deep expertise in at least one area of generative modeling, strong history of publications or open-source contributions involving…
date posted: 2026-04-17T13:09:56.134Z
valid through: 2026-10-01T04:00:42.985Z
direct apply: false
occupational category: Engineering
industry: Technology
skills: generative modeling
skills: diffusion models
skills: PyTorch
skills: TensorFlow
skills: machine learning frameworks
skills: large-scale model training
skills: research in 3D computer vision
skills: data curation
skills: experimentation
skills: evaluation
skills: deployment
skills: GPU-accelerated computing
skills: Python
skills: open-source contributions
skills: large-scale training infrastructure
skills: integrating machine learning models into production environments
skills: leading or being involved with the development or training of large-scale, state-of-the-art generative models
hiring organization: World Labs
job location: Place
  address: PostalAddress
    address locality: San Francisco
    address country: US
employment type: FULL_TIME
base salary: MonetaryAmount
  currency: USD
  value: QuantitativeValue
    min value: 250000
    max value: 325000
    unit text: YEAR