Data Science Engineer Jobs at Basis Research Institute with Visa Sponsorship
Basis Research Institute hires Data Science Engineers to work at the intersection of rigorous scientific inquiry and applied analytics. The institute has a track record of supporting international candidates through the sponsorship process, making it a realistic target if you're on a work visa or transitioning from student status.
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Get Access To All JobsAbout 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 engineers support Basis’ mission by translating research ideas into correct, robust, and scalable high-quality code. We seek individuals who excel technically and value probing concepts at their foundations. Our research engineers aspire to conduct rigorous, high-quality, robust science, unafraid to tinker, make mistakes, and explore radically different ideas to achieve this. Basis is a collaborative endeavor, both internally and with our external partners; we seek individuals who relish working with others on challenges larger than those they can tackle alone.
Machine Learning Research Engineers
This role targets experts in machine learning engineering. The core areas of ML research engineering include:
- Probabilistic programming and statistical inference
- Deep learning
- Causal inference
- Program synthesis and analysis
- ML Ops and systems engineering
These areas are honed within the context of building reasoning systems. Consequently, research engineers will also engage with topics such as programming language design and implementation, automatic differentiation, and SAT/SMT solvers, among others.
We expect you to:
- Possess excellent programming and software engineering skills, especially in Julia, Python, C++, ML-family languages.
- Have demonstrated the ability to drive software projects from start to finish. This could be evidenced by open-source projects, technical reports, and publications.
- Be comfortable digesting research from PL and/or ML venues, such as PLDI, POPL, NeurIPS, or ICML.
- Progress with a high degree of autonomy and under uncertainty.
- Be enthusiastic about solving real-world problems and making a positive societal impact.
- Have demonstrated significant technical achievements within ML engineering. Examples include:
- You've implemented variants of newly published techniques from scratch.
- You built systems and workflows for training large models distributed across many machines.
- You've built systems that span all levels of the programming stack from high-level API infrastructure to close-to-the-metal code.
In addition, the following would be an advantage:
- A PhD (or equivalent experience) in technical areas including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics.
Responsibilities:
- Translate research ideas into correct, robust, and scalable high-quality code.
- Engage in programming language design/implementation.
- Performance engineering, scaling research code.
- Algorithm development.
- Contribute to the culture and direction of Basis.
- (Optionally) Publish and present findings in journals and conferences.
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
- Hours: While we prioritize in-person collaboration for its benefits to creative work, there is a degree of flexibility in your working hours. Be prepared to attend multi-day Basis-wide in-person events.
- Location: This role is in-person in either New York City or Boston.
- Salary range: Competitive salary and bonuses
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 engineers support Basis’ mission by translating research ideas into correct, robust, and scalable high-quality code. We seek individuals who excel technically and value probing concepts at their foundations. Our research engineers aspire to conduct rigorous, high-quality, robust science, unafraid to tinker, make mistakes, and explore radically different ideas to achieve this. Basis is a collaborative endeavor, both internally and with our external partners; we seek individuals who relish working with others on challenges larger than those they can tackle alone.
Machine Learning Research Engineers
This role targets experts in machine learning engineering. The core areas of ML research engineering include:
- Probabilistic programming and statistical inference
- Deep learning
- Causal inference
- Program synthesis and analysis
- ML Ops and systems engineering
These areas are honed within the context of building reasoning systems. Consequently, research engineers will also engage with topics such as programming language design and implementation, automatic differentiation, and SAT/SMT solvers, among others.
We expect you to:
- Possess excellent programming and software engineering skills, especially in Julia, Python, C++, ML-family languages.
- Have demonstrated the ability to drive software projects from start to finish. This could be evidenced by open-source projects, technical reports, and publications.
- Be comfortable digesting research from PL and/or ML venues, such as PLDI, POPL, NeurIPS, or ICML.
- Progress with a high degree of autonomy and under uncertainty.
- Be enthusiastic about solving real-world problems and making a positive societal impact.
- Have demonstrated significant technical achievements within ML engineering. Examples include:
- You've implemented variants of newly published techniques from scratch.
- You built systems and workflows for training large models distributed across many machines.
- You've built systems that span all levels of the programming stack from high-level API infrastructure to close-to-the-metal code.
In addition, the following would be an advantage:
- A PhD (or equivalent experience) in technical areas including: statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, mathematics.
Responsibilities:
- Translate research ideas into correct, robust, and scalable high-quality code.
- Engage in programming language design/implementation.
- Performance engineering, scaling research code.
- Algorithm development.
- Contribute to the culture and direction of Basis.
- (Optionally) Publish and present findings in journals and conferences.
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
- Hours: While we prioritize in-person collaboration for its benefits to creative work, there is a degree of flexibility in your working hours. Be prepared to attend multi-day Basis-wide in-person events.
- Location: This role is in-person in either New York City or Boston.
- Salary range: Competitive salary and bonuses
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
See all 31+ Data Science Engineer at Basis Research Institute jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Basis Research Institute Jobs
Tailor your portfolio to research-grade data work
Basis Research Institute operates in Science and Research, so your project portfolio should demonstrate experience with scientific datasets, reproducible analysis pipelines, or experimental modeling, not just business intelligence or consumer analytics work.
Ask HR directly about LCA filing timelines
For H-1B transfers or new H-1B filings, the Department of Labor requires a certified Labor Condition Application before USCIS can adjudicate your petition. Confirm with Basis Research Institute's HR team when they typically initiate LCA filings relative to your offer date.
Surface your research methods skills early
Data Science Engineer roles at research institutions frequently require familiarity with statistical modeling, hypothesis testing, or domain-specific toolchains. Highlighting these in your resume and cover letter signals fit before you reach the interview stage.
Search open roles using Migrate Mate
Use Migrate Mate to filter Data Science Engineer openings at Basis Research Institute by visa type, so you're only reviewing roles that align with your current immigration status rather than manually screening through general job boards.
Clarify CPT eligibility with your DSO before accepting internships
If you're pursuing a CPT-based role at Basis Research Institute, your Designated School Official must authorize it and the position must be integral to your degree program. Confirm this alignment before signing any offer to avoid unauthorized employment.
Data Science Engineer at Basis Research Institute jobs are hiring across the US. Find yours.
Find Data Science Engineer at Basis Research Institute JobsFrequently Asked Questions
Does Basis Research Institute sponsor H-1B visas for Data Science Engineers?
Yes, Basis Research Institute has sponsored H-1B visas for Data Science Engineers. As a research-focused institution, it has experience navigating the USCIS petition process for technical roles. If you're currently on a different status, confirm with their HR team whether they support H-1B transfers or new cap-subject filings, since timelines and eligibility vary by situation.
How do I apply for Data Science Engineer jobs at Basis Research Institute?
You can browse current Data Science Engineer openings at Basis Research Institute through Migrate Mate, which filters roles by visa sponsorship type so you can identify positions that match your immigration status. Once you find a relevant opening, apply directly through Basis Research Institute's careers portal and confirm visa sponsorship availability with the recruiter early in the process.
Which visa types does Basis Research Institute support for Data Science Engineer roles?
Basis Research Institute has supported multiple visa categories for Data Science Engineers, including H-1B, F-1 OPT, F-1 CPT, TN, and J-1. The right category depends on your nationality, degree status, and employment type. F-1 CPT is typically limited to current students, while TN requires Canadian or Mexican citizenship and a qualifying role under USMCA.
What qualifications does Basis Research Institute expect for Data Science Engineer roles?
Data Science Engineer positions at Basis Research Institute typically require a bachelor's or master's degree in a quantitative field such as computer science, statistics, or a related engineering discipline. Given the research environment, familiarity with scientific computing, data pipeline engineering, and reproducible analytical methods tends to be weighted heavily alongside general machine learning or software engineering experience.
How do I plan my timeline if I need visa sponsorship for a Data Science Engineer role at Basis Research Institute?
Research institutions like Basis Research Institute often have hiring cycles that run longer than private-sector firms, so build in extra lead time. If you're targeting an H-1B, USCIS requires filing during the April cap season for an October 1 start. For OPT or TN roles, the timeline is more flexible, but confirm your authorization window covers onboarding before accepting an offer.
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