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About the work:

  • Develop numerical-analytical models of learning in our system.
  • Connect our research to existing literature.
  • Prove properties of algorithms and design experiments to validate results empirically.

Your collaboration:

  • Leverage the expertise of other team members effectively.
  • Write clean and well-documented code.
  • Help other team members to deliver on their goals.

Your background:

  • Development of mathematical analysis methods (optimal transport, information geometry, continuous optimization).
  • Analysis of probabilistic graphical models (factor graphs).
  • Implementation of tractable density estimators.
  • Advanced degree (PhD or equivalent research experience) in mathematics, CS, or statistics.

Planting Space

Planting Space builds modular probabilistic models for rigorous analysis in finance and scientific research. The company is a small, fully remote team operating mostly within the CET timezone.

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