Analytics Engineer Jobs at Basis Research Institute with Visa Sponsorship
Basis Research Institute hires Analytics Engineers to support data infrastructure across research-driven projects in the sciences. The institute has a clear record of working through visa sponsorship for technical roles, making it a viable target if you're on an H-1B, OPT, or similar work authorization pathway.
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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 27+ Analytics Engineer at Basis Research Institute jobs
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at Basis Research Institute Jobs
Align your portfolio with research data workflows
Basis Research Institute runs analytics work in a science and research context, so frame your portfolio around data pipelines, reproducible analysis, or research-grade data models. Generic BI dashboards are less compelling than projects tied to scientific or structured research outputs.
Verify your OPT authorization before applying
If you're on F-1 OPT, confirm your EAD is active and your employment authorization start date aligns with a realistic offer timeline. USCIS processing for OPT extensions can run 3 to 5 months, so file your STEM OPT extension well before your initial OPT expires.
Target roles that map to a specialty occupation
For H-1B sponsorship, USCIS requires the Analytics Engineer role to qualify as a specialty occupation. Roles involving dbt, SQL modeling, and data infrastructure for research programs typically satisfy this standard. Confirm the job description explicitly requires a bachelor's degree in a relevant technical field.
Use Migrate Mate to filter open Analytics Engineer roles
Basis Research Institute lists Analytics Engineer openings that are sponsorship-eligible. Use Migrate Mate to filter specifically for these roles so you're only spending time on positions where your visa situation is already accounted for by the employer.
Ask about LCA filing timing during the offer stage
The Labor Condition Application must be certified by the DOL before USCIS will accept an H-1B petition. During the offer process, ask the hiring team whether their immigration counsel is already engaged so you can gauge how quickly the filing can move after an offer is signed.
Prepare credential documentation for research-sector hiring
Science and research employers often verify academic credentials closely for analytical roles. Have your transcripts, degree certificates, and any equivalency evaluations ready before interviews progress. If your degree is from outside the U.S., a credential evaluation from a NACES-member organization strengthens your petition.
Analytics Engineer at Basis Research Institute jobs are hiring across the US. Find yours.
Find Analytics Engineer at Basis Research Institute JobsFrequently Asked Questions
Does Basis Research Institute sponsor H-1B visas for Analytics Engineers?
Yes, Basis Research Institute has a track record of sponsoring H-1B visas for Analytics Engineer roles. The institute operates in science and research, and analytics positions at this level typically meet USCIS specialty occupation standards. Your employer will need to file a Labor Condition Application with the DOL and then submit Form I-129 to USCIS on your behalf.
How do I apply for Analytics Engineer jobs at Basis Research Institute?
You can browse current Analytics Engineer openings at Basis Research Institute through Migrate Mate, which filters listings by visa sponsorship eligibility so you're not wasting time on roles that won't support your status. When applying, tailor your resume to reflect data modeling, pipeline development, and any experience supporting research or scientific data environments specifically.
Which visa types are commonly used for Analytics Engineer roles at Basis Research Institute?
Basis Research Institute has sponsored H-1B, F-1 OPT, F-1 CPT, TN, and J-1 visas for roles in this function. For early-career candidates, F-1 CPT and OPT are common entry points. The TN visa is available to Canadian and Mexican nationals in qualifying analytical or technical occupations. H-1B is the most common long-term pathway for full-time employment.
What qualifications does Basis Research Institute expect for Analytics Engineer roles?
Analytics Engineer roles at research-sector employers like Basis Research Institute typically require a bachelor's degree or higher in a field such as computer science, statistics, mathematics, or a related discipline. Practical experience with SQL, data modeling frameworks like dbt, and familiarity with scientific or structured research data pipelines strengthens your candidacy significantly over general business analytics backgrounds.
How long does the visa sponsorship process take for an Analytics Engineer offer?
For H-1B sponsorship, the DOL must certify the Labor Condition Application, which typically takes seven business days, before USCIS can process Form I-129. Standard USCIS processing runs 3 to 6 months, though premium processing can reduce that to 15 business days. For F-1 OPT, factor in your USCIS EAD timeline when negotiating a start date with the employer.
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