Research Scientist: Energy Based Models
Astera Institute· AI Research
Hybrid (Emeryville HQ)$150k - $300kFull-timePosted 8mo ago
About the role
Seeking brilliant, unconventional thinkers to develop foundational principles of Artificial General Intelligence by researching energy-based, hierarchical latent variable models and bridging biological intelligence, computational theory, and scalable systems.
Responsibilities
- Fundamental Research on Energy Based, Hierarchical Latent Variable Models: Develop and implement new architectures and learning/inference algorithms for neuroscience-inspired energy-based world models, with focus on representations that allow for parallel distributed planning.
- Scientific Discovery: 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.
Qualifications
- PhD in Computer Science, Electrical Engineering, Neuroscience, Physics, or a related quantitative field (exceptional candidates considered with non-traditional education).
- Strong foundations in deep learning, graphical models, and information theory.
- Expert-level skills in deep learning frameworks (PyTorch/JAX), with a focus on clean, reproducible research code.
- Demonstrated interest in robustness, generalization, and common-sense reasoning (AGI mindset).
- Genuine passion for exploring the computational and architectural principles of the mammalian brain.
- Ability to thrive in a lean, fast-paced startup-like environment with high autonomy and influence on research direction.
Skills
Required:Energy Based ModelsGraphical ModelsDeep Learning Frameworks
Nice to have:Research in AI / AGI
Benefits
- Benefits summary available (linked in posting)
Last updated Sep 23, 2026. Interested? Apply on the company site.
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