Research Scientist: Hierarchical Sensorimotor Perception

The role

You will develop foundational principles of Artificial General Intelligence. This involves developing bi-directional/recurrent architectures for hierarchical perception and designing experiments to test out-of-distribution generalization.

What you will do

• Develop and implement new bi-directional/recurrent architectures for hierarchical perception.
• Design experiments to test and benchmark against existing architectures for out-of-distribution generalization.
• Work alongside neuroscientists and software engineers to translate abstract mathematical frameworks into scalable systems.
• Help innovate new publication models that incentivize speedy dissemination, open source code releases, free open access, and impact measurements.

Required qualifications

• Strong foundations in deep learning, graphical models, and information theory.
• Expert-level skills in deep learning frameworks (PyTorch/JAX).
• Focus on clean, reproducible research code.
• Demonstrated interest in the big questions of AI such as robustness, generalization, and common-sense reasoning.
• Genuine passion for exploring the computational and architectural principles of the mammalian brain.
• Ability to thrive in a lean, fast-paced environment with high autonomy.

Nice to have

• PhD in Computer Science, Electrical Engineering, Neuroscience, Physics, or a related quantitative field.
• Exceptional candidates with non-traditional educational histories.

About the company

Astera is a private foundation on a mission to steer science and technology toward a better future. They have committed a $3.5B endowment to grants, investments, and in-house research programs.