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AsteraAsteraEmeryville, CA

Research Scientist - Simplex

Develops theories of intelligence grounded in neural network internal structures, focusing on belief geometries in LLMs and biological brains. Conducts experiments bridging mathematics, ML interpretability, and safety research; requires PhD-level quantitative depth and hands-on coding.

140k – 200k
On-siteAI Research

About the role

Responsibilities

  • Develop unsupervised methods to recover belief geometries in real LLMs.
  • Extend theory of intelligence to complex cognitive tasks, RL, and biological brains.
  • Investigate generalization and out-of-distribution behavior in neural networks.
  • Participate in red teaming to stress-test the framework and identify edge cases.
  • Apply mathematics to biological neural networks using real brain data.

Requirements

  • Depth in at least one quantitative field (physics, mathematics, neuroscience, machine learning, etc.).
  • PhD or equivalent preferred.
  • Rigorous mathematics skills combined with hands-on work with models and data.
  • Ability to move between theory and experiment.
  • Cross-disciplinary learning (dynamical systems, probability, deep learning, physics, information theory, neuroscience).
  • Self-directed with ownership over research ideas.
  • Strong communication for collaboration.
  • Proficiency building code, experiments, and using AI tools.

Preferred

  • Extensive ML experience.
  • Experience in interpretability.

Skills

PyTorchTransformersMachine LearningInterpretabilityBayesian InferenceDynamical SystemsProbabilityInformation TheoryNeuroscienceLLMs

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