Research Engineer, Platform

Basis Research Institute; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

A non-profit AI research organization in New York City is seeking a Research Engineer to develop core technology modules and advance research methods. The ideal candidate will bridge research excellence with engineering, possessing a PhD and experience in producing quality software. This full-time role requires collaboration on impactful projects and deep technical knowledge in areas like machine learning and probabilistic programming, with a focus on societal challenges.

Qualifications

• Demonstrated ability to conduct high-quality research with publications.
• Drive software projects from start to finish with production-standard code.
• Deep knowledge of probabilistic programming and related fields.

Responsibilities

• Advance research methods aligned with Basis mission.
• Build core technology modules for multiple projects.
• Translate research into production-ready code.
• Contribute to Platform development by developing research-driven capabilities that enhance commercial offerings, integrating novel techniques into platform APIs and features.
• Identify high-value research problems by staying connected to research frontiers, understanding commercial and societal needs, and recognizing opportunities where Basis capabilities can make significant impact.
• Develop new project concepts from ideation through concrete vision, scoping research questions, defining technical approaches, and creating compelling cases for new initiatives.
• Collaborate across research and engineering teams to ensure research advances integrate smoothly with platform infrastructure and that engineering constraints inform research directions.
• Ensure research has a path to impact whether through commercial deployment, open-source release, academic publication, or transfer to other projects within Basis portfolio.
• (Optionally) Publish and present findings in journals and conferences to contribute to broader research community and establish Basis thought leadership.
• Contribute to the culture and direction of Basis by modeling excellence at the intersection of research and engineering, rigorous thinking about foundations, and commitment to building tools that advance societal capability.

Skills

Research and Publication

Software Development

Python

Machine Learning

Collaboration

Software engineering practices

Education

PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

JAX

Job description

1 week ago Be among the first 25 applicants

About Basis

Basis is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence—establishing the mathematical principles of reasoning, learning, decision‑making, understanding, and explanation, and constructing software that implements these principles. The second is to advance society’s ability to solve intractable problems—expanding the scale, complexity, and breadth of problems we can solve today, and accelerating our ability to solve problems in the future. To achieve these goals, we are building a new technological foundation inspired by human reasoning and a new kind of collaborative organization that puts human values first.

About the Role

Research Engineers on the Platform team advance research methods and package them into reusable modules that others can build on. You will develop Basis core technology modules (fundamental algorithmic components like ChiRho, Effectful, Weighted), contribute research‑driven capabilities to commercial platform offerings, and ensure research advances have clear paths to impact—whether commercial or societal.

We are looking for people who bridge research excellence and engineering rigor. The ideal Research Engineer has published research and shipped production code, translates experimental techniques into robust implementations, and architects software that enables others to build on your work. You will identify high‑value research problems aligned with Basis mission and develop them from ideation through concrete implementation.

This role is distinguished from Operations Research Engineers (who focus on internal tooling) by emphasis on advancing research methods for platform and commercial applications. You will work on Core Tech Module Teams and contribute to research that defines Basis’s technological foundation.

We seek individuals who excel technically and value probing concepts at their foundations. Our research engineers aspire to rigorous, high‑quality science and engineering, but are not afraid to tinker, make mistakes, and explore radically different ideas to get there.

Basis is a collaborative effort, both internally and with our external partners; we look for people who enjoy working with others on problems larger than they can tackle alone.

We Expect You to:

• Have demonstrated ability to conduct research of high quality, evidenced by:
  • Publications at top‑tier conferences (NeurIPS, ICML, ICLR, POPL, PLDI, OOPSLA)
  • Technical reports or preprints showing novel research contributions
  • Open‑source research projects with significant adoption or citations
• Have demonstrated ability to drive software projects from start to finish, evidenced by:
  • Research code released as production‑quality libraries or frameworks
  • Contributions to major open‑source projects (PyTorch, TensorFlow, JAX, or equivalents)
  • Systems built that span research prototypes through deployable implementations
• Possess deep knowledge of relevant technical areas including probabilistic programming, causal inference, program synthesis, neural architectures, or related fields central to Basis research directions.
• Be proficient in research engineering tools including Python, PyTorch/JAX, version control, testing frameworks, documentation systems, and software engineering practices that make research code maintainable and extensible.
• Understand paths from research to impact, designing experiments, implementing solutions, and evaluating results without extensive direction.
• Value software quality and reusability, designing modules that others can build on, writing comprehensive documentation and tests, and architecting systems that remain coherent as they evolve.
• Progress with autonomy and intellectual curiosity, identifying valuable research directions, designing experiments, implementing solutions, and evaluating results autonomously.
• Be excited about solving real‑world problems and having positive societal impact through research that advances our understanding of intelligence and our ability to tackle intractable challenges.

Additional Advantages:

• PhD in Computer Science, Machine Learning, Statistics, or related field with publications at top‑tier venues.
• Experience at research organizations that successfully productionized innovations (Bell Labs, PARC, Microsoft Research, Google Research, Meta FAIR, DeepMind).
• Contributions to widely‑used research libraries or frameworks.
• Background spanning multiple areas (ML + PL, causal inference + probabilistic programming, theory + systems).
• Experience with Bayesian methods, probabilistic programming languages, or causal modeling.
• Track record of research that influenced commercial products or open‑source ecosystems.

Responsibilities

• Advance research methods in areas aligned with Basis mission including probabilistic programming, causal inference, reasoning under uncertainty, program synthesis, and foundations of machine learning.
• Build Basis core technology modules producing fundamental algorithmic components that provide reusable capabilities across multiple projects and applications.
• Package research into production‑ready code by translating experimental techniques into robust implementations with comprehensive documentation, tests, and examples that enable others to build on your work.
• Contribute to Platform development by developing research‑driven capabilities that enhance commercial offerings, integrating novel techniques into platform APIs and features.
• Identify high‑value research problems by staying connected to research frontiers, understanding commercial and societal needs, and recognizing opportunities where Basis capabilities can make significant impact.
• Develop new project concepts from ideation through concrete vision, scoping research questions, defining technical approaches, and creating compelling cases for new initiatives.
• Collaborate across research and engineering teams to ensure research advances integrate smoothly with platform infrastructure and that engineering constraints inform research directions.
• Ensure research has a path to impact whether through commercial deployment, open‑source release, academic publication, or transfer to other projects within Basis portfolio.
• (Optionally) Publish and present findings in journals and conferences to contribute to broader research community and establish Basis thought leadership.
• Contribute to the culture and direction of Basis by modeling excellence at the intersection of research and engineering, rigorous thinking about foundations, and commitment to building tools that advance societal capability.

Role Details

• 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: New York City.
• Salary range: Competitive salary.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Non‑profit Organizations

Referrals

Referrals increase your chances of interviewing at Basis Research Institute by 2x.

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.