Engineering Jobs at Basis Research Institute with Visa Sponsorship
Basis Research Institute hires engineers across research-driven functions where technical depth matters. The company has a history of working through U.S. work visa processes for qualified candidates, making it a viable target if you're on F-1 OPT, H-1B, TN, or J-1 and looking to build a career in scientific research.
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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.
Compensation Range: $120K - $180K

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.
Compensation Range: $120K - $180K
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Get Access To All JobsTips for Finding Engineering Jobs at Basis Research Institute Jobs
Align your credentials to research engineering standards
Basis Research Institute operates in a science and research environment where engineering roles often require graduate-level depth, not just a bachelor's. Make sure your resume reflects specialized technical skills and any research experience before you apply.
Browse open engineering positions through Migrate Mate
Migrate Mate filters engineering jobs by visa sponsorship type, so you can find Basis Research Institute openings that match your authorization status without manually screening dozens of listings that don't apply to you.
Ask about LCA filing timelines during the offer stage
Before H-1B sponsorship can begin, your employer must file a certified Labor Condition Application with the DOL. Raise this early in the offer conversation so both sides can align on the timeline before your current work authorization window closes.
Prepare your specialty occupation documentation early
USCIS requires evidence that your engineering role qualifies as a specialty occupation. Gather transcripts, any professional licenses, and documentation of research projects that establish the degree-level requirement for your specific position at a research institute.
Engineering at Basis Research Institute jobs are hiring across the US. Find yours.
Find Engineering at Basis Research Institute JobsFrequently Asked Questions
Does Basis Research Institute sponsor H-1B visas for Engineers?
Yes, Basis Research Institute has sponsored H-1B visas for engineering roles. Research-driven organizations in the science and research sector routinely use the H-1B for positions requiring specialized technical knowledge. If you're currently on OPT or another nonimmigrant status, it's worth confirming sponsorship availability directly with the hiring team during the interview process.
How do I apply for Engineering jobs at Basis Research Institute?
You can find and filter open engineering roles at Basis Research Institute through Migrate Mate, which lets you search by visa sponsorship type so you only see positions relevant to your authorization status. Once you identify a role, apply directly through Basis Research Institute's careers page and be upfront about your visa situation early in the process.
Which visa types are commonly used for Engineering roles at Basis Research Institute?
Engineering candidates at Basis Research Institute have been sponsored under H-1B, F-1 OPT, F-1 CPT, TN, and J-1 visa categories. For longer-term employment, H-1B is the primary pathway. F-1 OPT and CPT are common entry points for recent graduates, while TN works for Canadian and Mexican nationals in qualifying engineering occupations under the USMCA agreement.
What qualifications are expected for Engineering roles at Basis Research Institute?
Given Basis Research Institute's science and research focus, engineering roles typically require strong technical foundations and often a graduate degree in a relevant engineering or applied science discipline. Research experience, familiarity with experimental methods or data-intensive workflows, and the ability to work in a research environment are commonly valued. H-1B eligibility also requires that your degree field directly relates to the position.
How do I plan the timeline for visa sponsorship when joining Basis Research Institute?
Timeline depends on your current status. F-1 OPT holders need to ensure their employment start date falls within their authorized period. H-1B sponsorship requires a DOL-certified Labor Condition Application before USCIS filing, which can take several weeks. If you're subject to the H-1B cap, USCIS only accepts petitions in April for an October 1 start, so plan your offer and transition accordingly.
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