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GEGeneral Intuition

World Model / Action Policy Researcher(m/w/x)

Genf
Full-timeOn-siteSenior
AI/ML

Developing world models with diffusion and transformer architectures for embodied agents in deep spatial/temporal reasoning environments. 5+ years deep learning research experience required. Meaningful equity.

Requirements

  • 5+ years deep learning research experience
  • Foundation in representation learning and generative modeling
  • Experience with world models and predictive control
  • Proficiency in reinforcement learning or imitation learning
  • Programming fluency in Python and PyTorch
  • Strong experimental and large-scale training skills
  • Relevant publications or open-source contributions (plus)
  • Ownership, scientific rigor, and clean code
  • Performance and scaling mindset
  • Curiosity-driven and result-oriented personality
  • Interest in interactive environments and simulations
  • Experience with Unity, Unreal, or simulators (plus)

Tasks

  • Conduct deep learning and reinforcement learning research
  • Develop world models using diffusion and transformer architectures
  • Design and evaluate policy networks for embodied agents
  • Train models to simulate dynamics in learned environments
  • Implement research using Python and PyTorch frameworks
  • Manage large-scale training and evaluation pipelines
  • Oversee projects from initial concept to deployment
  • Write clean and reproducible research code
  • Optimize research for production and compute efficiency
  • Utilize Unity or Unreal Engine for simulations

Work Experience

  • 5 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • Unity
  • Unreal Engine
  • Diffusion models
  • VAEs
  • Transformers

Benefits

Competitive Pay

  • Competitive salary

Other Benefits

  • Meaningful equity

Healthcare & Fitness

  • Comprehensive health insurance
  • Dental insurance
  • Vision insurance

Retirement Plans

  • 401k
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