Research Scientist: Energy Based Models

Astera Institute; California; Sur place; USD 150 000 - 300 000; Plein temps

Avantages offerts par ce poste

No pressure to meet revenue goals

Focus on groundbreaking research

Collaborative culture

Résumé du poste

Astera Institute in California is seeking scientists to advance Artificial General Intelligence through foundational research, emphasizing collaboration across disciplines. The ideal candidate holds a PhD in a related field and possesses expertise in deep learning and programming skills in frameworks like PyTorch. This role offers a compensation range from $150K to $300K, fostering a mission-first culture in a fast-paced environment.

Qualifications

• Preferred PhD in a quantitative field, willing to consider exceptional candidates.
• Strong foundations in deep learning, graphical models, and information theory.
• Expert-level coding proficiency in deep learning frameworks, particularly PyTorch/JAX.

Responsabilités

• Develop and implement architectures and algorithms for energy-based models.
• Design experiments to test hypotheses related to cognition and learning.
• Collaboration with neuroscientists and engineers to create scalable systems.
• Innovate publication models for open science and impact measurement.

Connaissances

Deep learning

Graphical models

Information theory

Coding in PyTorch/JAX

Scientific discovery

Cross-disciplinary collaboration

Formation

PhD in Computer Science, Electrical Engineering, Neuroscience, Physics or related field

Outils

Deep learning frameworks

Description du poste

About The Role

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 Energy Based, Hierarchical Latent Variable Models: develop and implement new architectures and learning/inference algorithms for neuroscience-inspired energy-based world models, focusing 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.

Desired Qualifications

• Technical Depth: preferred PhD in Computer Science, Electrical Engineering, Neuroscience, Physics, or a related quantitative field. We are always open to considering exceptional candidates, even those with non-traditional educational histories.
• Theoretical Rigor: strong foundations in deep learning, graphical models, and information theory.
• Coding Proficiency: expert-level skills in deep learning frameworks (PyTorch/JAX), with a focus on clean, reproducible research code.
• AGI Mindset: a demonstrated interest in the "big questions" of AI—robustness, generalization, and common-sense reasoning.
• Curious About the Brain: a genuine passion for exploring the computational and architectural principles of the mammalian brain.
• Startup DNA: ability to thrive in a lean, fast-paced environment where you have high autonomy and a direct influence on research direction.

Why Join Us?

• We recognize the need for fundamental research: no pressure to align research with quarterly revenue goals, market competition, or product roadmaps. We can focus on solving the core problems and achieving breakthroughs that enable the next generation of AGI technology.
• Mission-First: your work contributes directly to the global pool of knowledge and the safe development of AGI.
• Collaborative culture: we work in teams, organized around challenge problems and attack paths, without big-company inertia or politics.

Compensation

Compensation Range: $150K - $300K