Research Scientist, World Models
Company: Basis Research Institute
Location: New York City
Posted on: April 2, 2026
|
|
|
Job Description:
About Basis Basis 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 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. About the Role Research
scientists lead Basis’ efforts to develop a deeper understanding of
the conceptual, mathematical, and computational principles of
intelligence. We are looking for people who are technically
excellent, and who value probing concepts at their foundations. Our
research scientists/engineers aspire to do rigorous, high-quality,
robust science, but are not afraid to tinker, make mistakes, and
explore radically different ideas in order to get there. Basis is a
collaborative effort, both internally and with our external
partners; we are looking for people who enjoy working with others
on problems larger than ones they can tackle alone. Research Focus
Despite the increasing recognition that both having and discovering
world models are central to intelligence, current AI systems
struggle to replicate this human capability. There remains
significant uncertainty about what precisely constitutes a world
model, how we might reliably detect if an agent possesses one, and
crucially, how we can develop agents that learn these models
rapidly and reliably. Our research within the MARA project aims to
develop new foundations and technologies for modeling, abstraction,
and reasoning in AI systems. MARA’s overarching goal is to uncover
principled methods for how intelligence constructs, refines, and
utilizes world models through interactive experimentation. Building
these systems will demand advances in knowledge representation,
abstraction, reasoning, active learning, reinforcement learning,
and a first-principles rethinking of what it means to model the
world. The immediate mission of MARA is to solve concrete
challenges such as AutumnBench , physical and simulated robotics
benchmarks, and the Abstract Reasoning Corpus (ARC), with the
broader mission of building systems capable of learning in an open,
growing portfolio of domains using human-comparable amounts of data
and interaction. Who we’re looking for Researchers holding a PhD in
computer science, artificial intelligence, machine learning,
cognitive science, or related fields. Strong background in areas
such as program synthesis, probabilistic programming, machine
learning, AI reasoning systems, and cognitive modeling. Experience
in developing AI systems that combine neural and symbolic methods
is highly valued. Interest in foundational AI research and its
applications to modeling, abstraction, and reasoning. Individuals
with a demonstrated track record in scientific research, evidenced
through publications, technical reports, or impactful software
projects. Excited about solving real world problems and having
positive societal impact. Responsibilities Conduct independent and
collaborative research focused on the MARA project. Develop new
methods and algorithms for modeling, abstraction, and reasoning in
AI systems. Apply these methods to concrete challenges such as
AutumnBench , physical and simulated robotics environments, the
Abstract Reasoning Corpus (ARC), and other domains. Disseminate
research findings through academic publications and presentations
at leading conferences. Provide mentorship to junior team members
and contribute to the scientific discourse through seminars,
workshops, and collaborative projects. Develop and maintain
open-source software (Optionally) Publish and present findings in
journals and conferences Contribute to the culture and direction of
Basis Role Details Exceptional candidates who may not meet all of
the following criteria are still encouraged to apply. FT/PT: This
is a full-time position In-person Policy: We are in the office four
days a week. Be prepared to attend multi-day Basis-wide in-person
events. Location: This role is in-person in either New York City or
Cambridge, MA. Salary range: Competitive salary. Start date:
Immediate start possible. Privacy Notice By submitting your
application, you grant Basis permission to use your materials for
both hiring evaluation and recruitment-related research and
development purposes. Your information may be processed in
different countries, including the US. You retain copyright while
providing Basis a license to use these materials for the stated
purposes. Read our full Global Data Privacy Notice here .
Keywords: Basis Research Institute, East Brunswick , Research Scientist, World Models, IT / Software / Systems , New York City, New Jersey