Research Scientist/Engineer

Astera Institute; Emeryville (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Focus on fundamental research without commercial pressures

Contribute to global AGI knowledge

Collaborative work environment

Job summary

A cutting-edge AI research organization based in Emeryville seeks a Research Scientist/Engineer to advance the field of Artificial General Intelligence. The ideal candidate will focus on developing brain-like world models through deep learning, while collaborating with a dynamic team of experts. A PhD in a relevant field is preferred but exceptional candidates will be considered. This role emphasizes innovative research without commercial pressures, fostering a culture of discovery and impact.

Qualifications

• Preferred PhD in a quantitative field, open to other exceptional backgrounds.
• Strong foundations in deep learning and information theory are essential.
• Expert-level proficiency with deep learning frameworks required.

Responsibilities

• Develop and implement architectures for neuroscience-based models.
• Design experiments to test high-level cognition and learning theories.
• Collaborate with neuroscientists to translate theories into systems.
• Contribute to innovative open science publishing models.

Skills

PhD in Computer Science, Electrical Engineering, Neuroscience, Physics

Deep learning frameworks (PyTorch/JAX)

Theoretical foundations in deep learning

Interest in AI and brain research

Ability to thrive in a startup environment

Education

PhD or equivalent in a related field

Job description

Astera Institute

Research Scientist/Engineer

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 brain-like world models: Develop and implement new architectures and learning algorithms for neuroscience-based world models. You will draw up on insights from deep learning, causality, probabilistic and energy based models, and biologically inspired architectures.

• 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.