World Labs

World Labs

Research Scientist (Generative Modeling)

San Francisco

Sponsorship not specified$250k-$325kDetected 83 days ago
PythonNode.jsMachine LearningTensorFlowPyTorchComputer VisionLLMsA/B TestingSystems EngineeringResearchMentoring

About the role

  • We are looking for 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.
  • Data curation for pretraining or post-training

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.
  • We're building something bigger than any one person.

Requirements

  • 3+ years of experience in generative modeling or applied ML roles, ideally at a startup or other fast-paced research environment
  • Deep expertise in at least one area of generative modeling: pre-training, post-training, diffusion distillation, fine-tuning with new conditioning signals, etc for diffusion models
  • Strong coding proficiency in Python and experience with GPU-accelerated computing.
  • Ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes.
  • Extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative models

Nice to have

  • Familiarity with large-scale training infrastructure (e.g., multi-node GPU clusters, distributed training environments).
  • Led or been involved with the development or training of large-scale, state-of-the-art generative models
  • Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
  • Resilient Builder: Impacting Large World Models isn't a sprint
  • it's a marathon with hurdles.
  • Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
  • We need team players who can harness the power of collective intelligence.
  • We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work.

Compensation

  • $250,000 - $325,000 base salary (good-faith estimate for San Francisco Bay Area upon hire
  • Total Compensation
  • Base salary plus equity awards
  • Salary History
  • We do not request or consider prior compensation in making offers
  • Cal. Lab. Code §1197.5 (Equal Pay Act)
  • $250,000 - $325,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)

Benefits

  • Base salary plus equity awards

Equal 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

This listing is sourced directly from World Labs's careers page and normalized into a canonical job model.