Research Scientist, Hierarchical RL & AGI Foundations

Astera Institute; Emeryville (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

No pressure to align research with revenue goals

Mission-driven work contributing to global knowledge

Collaborative culture without corporate politics

Job summary

A pioneering research organization in Emeryville seeks a Research Scientist specializing in Hierarchical Reinforcement Learning agents. The candidate will engage in groundbreaking research to develop foundational principles of Artificial General Intelligence, focusing on algorithm development, interdisciplinary collaboration, and contributions to open science. Ideal candidates hold a PhD in a related field and possess deep expertise in deep learning frameworks and robust AI practices. This role offers a collaborative and mission-driven environment, free from conventional pressures.

Qualifications

• PhD in Computer Science, Electrical Engineering, Neuroscience, Physics, or a related field preferred.
• Strong foundations in deep learning and graphical models.
• Expert-level skills in deep learning frameworks like PyTorch or JAX.
• Interest in robust and general AI problem solving.
• Passion for understanding the computational principles of the brain.

Responsibilities

• Develop new architectures for Hierarchical RL that support world modeling.
• Design tasks to evaluate agents in ethologically constrained environments.
• Collaborate with neuroscientists to translate mathematical frameworks into systems.
• Innovate new publication models for rapid dissemination and open access.

Skills

Deep Learning

Graphical Models

Information Theory

Clean Reproducible Code

Research on AGI

Education

PhD in Computer Science or related field

Tools

PyTorch

JAX

Job description

A pioneering research organization in Emeryville seeks a Research Scientist specializing in Hierarchical Reinforcement Learning agents. The candidate will engage in groundbreaking research to develop foundational principles of Artificial General Intelligence, focusing on algorithm development, interdisciplinary collaboration, and contributions to open science. Ideal candidates hold a PhD in a related field and possess deep expertise in deep learning frameworks and robust AI practices. This role offers a collaborative and mission-driven environment, free from conventional pressures.