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Research Scientist: Hierarchical RL AGI Foundations

Job in Bakersfield, Kern County, California, 93301, USA
Listing for: Astera Institute
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer (Applied/Software)
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 150000 - 300000 USD Yearly USD 150000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: Research Scientist: Hierarchical RL for AGI Foundations

About Astera

Astera is a private foundation on a mission to steer science and technology toward a better future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive progress.

We have committed a $3.5B endowment to that work and fit the form of our support to the function it serves: grants, investments, and in-house research programs. We accept meaningful risk in the research we back and expect some of it to fail because transformative ideas are rarely the ones already proven. Our projects, and the foundation itself, operate like high-velocity startups, with a high performance bar and competitive compensation to match.

We are searching for leaders who are compelled by the challenge of driving high-impact change in the way science is funded, conducted, and communicated. You can read more about our mission, vision, and programming /vision.

About Astera

Astera is a private foundation on a mission to steer science and technology toward a better future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive progress.

We have committed a $3.5B endowment to that work and fit the form of our support to the function it serves: grants, investments, and in-house research programs. We accept meaningful risk in the research we back and expect some of it to fail because transformative ideas are rarely the ones already proven. Our projects, and the foundation itself, operate like high-velocity startups, with a high performance bar and competitive compensation to match.

We are searching for leaders who are compelled by the challenge of driving high-impact change in the way science is funded, conducted, and communicated. You can read more about our mission, vision, and programming /vision.

Position Summary

We are seeking brilliant, unconventional thinkers to join us. In this role, you will not be chasing incremental gains on standard benchmarks. Instead, you will be tasked with developing the foundational principles of Artificial General Intelligence. We believe that understanding the "code of the brain" is the most viable path to building truly intelligent machines, and we are looking for scientists who can bridge the gap between biological intelligence, computational theory, and building at scale.

Core Responsibilities

  • Fundamental Research on Hierarchical World Model Learning from

    Experience:

    Develop and implement new architectures and learning/inference algorithms for hierarchical RL that supports hierarchical world modeling and hierarchical planning.
  • Ethologically constrained learning:
    Design tasks to evaluate the agent in ethologically constrained environments, and benchmark different agent designs. Design experiments to test hypotheses regarding high-level cognition, causal representations, sensory-motor integration, active inference, and unsupervised learning.
  • Cross-Disciplinary

    Collaboration:

    Work alongside neuroscientists and software engineers to translate abstract mathematical frameworks into scalable systems.
  • Contribute to Open Science:
    Help innovate new publication models that incentivize speedy dissemination, open source code releases, free open access, and impact measurements based on uptake.
Desired Qualifications

  • Technical Depth:
    Preferred:…
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