Research Scientist (Generative Modeling)

World Labs
San Francisco
Workplace: OnsiteFull timeUSD 250,000 - 325,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Mentoring","Collaboration","Communication","Translation of technical ideas","Ownership"]

Design, implement, and train large-scale diffusion models to generate 3D worlds, and experiment with new control signals, aesthetic conditioning, and efficient distillation. Collaborate with research, engineering, and product teams to translate requirements into technical roadmaps. Own hands-on work across data curation, experimentation, evaluation, and deployment, while staying current with cutting-edge generative modeling research and serving as a technical mentor.

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FursaFursa
World Labs
World Labs
8 months ago

Research Scientist (Generative Modeling)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 8 months ago

Job Summary

Design, implement, and train large-scale diffusion models to generate 3D worlds, and experiment with new control signals, aesthetic conditioning, and efficient distillation. Collaborate with research, engineering, and product teams to translate requirements into technical roadmaps. Own hands-on work across data curation, experimentation, evaluation, and deployment, while staying current with cutting-edge generative modeling research and serving as a technical mentor.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and train large-scale diffusion models to generate 3D worlds.
  • •Develop and experiment with diffusion models to add novel control signals, adapt to aesthetic preferences, or distill for efficient inference.
  • •Collaborate with research and product teams to translate product requirements into technical roadmaps.
  • •Contribute hands-on across the full model development lifecycle: data curation, experimentation, evaluation, and deployment.
  • •Continuously explore and integrate cutting-edge diffusion and generative AI research, and mentor colleagues while driving best practices.

Pay and Benefits

Salary: USD 250,000 - 325,000 annually
Equity and Bonus:Equity

Key Requirements

  • •3+ years of experience in generative modeling or applied ML roles, ideally in fast-paced research environments.
  • •Extensive experience with ML frameworks such as PyTorch or TensorFlow, particularly for diffusion and other generative models.
  • •Deep expertise in at least one generative modeling area (e.g., pre-training, post-training, diffusion distillation, or fine-tuning with new conditioning signals).
  • •Strong history of publications or open-source contributions involving large-scale diffusion models.
  • •Strong Python coding skills with experience using GPU-accelerated computing.
Experience:3+ yearsGenerative modelingApplied MLDiffusion models3D visionComputer visionComputer graphicsML engineering
Skills:MentoringCollaborationCommunicationTranslation of technical ideasOwnership
Tech Stack:PyTorchTensorFlowPythonDiffusion modelsGenerative AIVAETokenizersGPU-accelerated computingDistributed trainingMulti-node GPU clusters

Company Brief

World Labs
World Labs develops artificial intelligence and machine learning solutions, providing platforms and tools to help organizations build, deploy, and scale AI-driven applications across industries, with a focus on model development, MLOps, and customizable AI services.
Industry: AI & Machine Learning
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