Basis is a nonprofit applied research organization with two mutually reinforcing goals.

The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.

The second is to advance society’s ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.

To achieve these goals, we’re building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.

We are hiring research scientists and engineers to develop and explore computational theories of intelligence, codify theories in open-source software, and work with domain experts to help address scientific and societal problems. We are looking for people who are excited to contribute to Basis’ technical mission, want to work creatively on projects that matter with impact that goes beyond publications, and enjoy collaborating with a broad community of people while shipping high quality open source software.

We are a distributed team, combining the geographic flexibility of remote work with short periods of close in-person collaboration.

Career Opportunities

About the Fellowship The Basis Postdoctoral Fellowship, in collaboration with The Agmon Lab at the University of Connecticut Health's Center for Cell Analysis and Modeling, presents an opportunity for groundbreaking research in computational biology. This fellowship focuses on revolutionizing the discovery of gene functions through whole-cell models, blending whole-cell modeling with modular…
About the Fellowship This Basis Postdoctoral Fellowship is a collaborative initiative between Basis Research Institute and Harvard University’s Amin Lab. It also includes collaborators at the Hugh Kaul Precision Medicine Institute. As a fellow, you will be a key contributor to our focused efforts to research and develop fundamental methods in AI to help practitioners, including doctors and…
About Basis Basis (https://www.basis.ai/) is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to …
About Basis Basis (https://www.basis.ai/) is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to …
About Basis Basis (https://www.basis.ai/) is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to …
About Basis Basis (https://www.basis.ai/) is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to …
About Basis Basis Research Institute is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to …