7 months ago

Research Scientist (Generative Modeling)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Research Scientist with a focus on diffusion-based generative modeling to design and train large-scale models for 3D world generation. Collaborates with research, engineering, and product teams to translate product needs into scalable technical roadmaps, contribute end-to-end from data curation to deployment, and mentor teammates while pushing cutting-edge diffusion research into production.

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 for generating 3D worlds
•Develop and experiment with large-scale diffusion models to add novel control signals, adapt to target aesthetic preferences, or distill for efficient inference
•Collaborate closely with research and product teams to understand and translate product requirements into effective technical roadmaps
•Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment
•Continuously explore and integrate cutting-edge research in diffusion and generative AI more broadly

Key Requirements

•3+ years of experience in generative modeling or applied ML roles
•Extensive experience with PyTorch or TensorFlow, especially diffusion models
•Deep expertise in at least one area of generative modeling (pre-training, post-training, diffusion distillation, fine-tuning with new conditioning signals)
•Strong history of publications or open-source contributions involving large-scale diffusion models
•Strong coding proficiency in Python and experience with GPU-accelerated computing

Experience:3+ yearsGenerative modelingDiffusion models3D graphicsMachine learning

Skills:CollaborationCommunicationMentoringProblem-solvingTeamwork

Languages:English

Tech Stack:PythonPyTorchTensorFlowDiffusion modelsGPUMulti-node GPU clustersDistributed training

Company Brief

World Labs

Industry: AI & Machine Learning

Website

Loading job details...

Preparing the role view and application actions.

World Labs

7 months ago

Research Scientist (Generative Modeling)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

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 for generating 3D worlds
•Develop and experiment with large-scale diffusion models to add novel control signals, adapt to target aesthetic preferences, or distill for efficient inference
•Collaborate closely with research and product teams to understand and translate product requirements into effective technical roadmaps
•Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment
•Continuously explore and integrate cutting-edge research in diffusion and generative AI more broadly

Key Requirements

•3+ years of experience in generative modeling or applied ML roles
•Extensive experience with PyTorch or TensorFlow, especially diffusion models
•Deep expertise in at least one area of generative modeling (pre-training, post-training, diffusion distillation, fine-tuning with new conditioning signals)
•Strong history of publications or open-source contributions involving large-scale diffusion models
•Strong coding proficiency in Python and experience with GPU-accelerated computing

Experience:3+ yearsGenerative modelingDiffusion models3D graphicsMachine learning

Skills:CollaborationCommunicationMentoringProblem-solvingTeamwork

Languages:English

Tech Stack:PythonPyTorchTensorFlowDiffusion modelsGPUMulti-node GPU clustersDistributed training

Company Brief

World Labs

Industry: AI & Machine Learning

Website