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Research Engineer Jobs in New York (NOW HIRING)

Skillenai

AI Research Engineer

Manhattan, NY · On-site

Get a daily email digest of new AI Research Engineer jobs Skillenai aggregates ai research engineer jobs from across the open web. Click below and we'll open a pre-filled daily digest -- change the ...

NYU Langone Health

Research Engineer

Manhattan, NY · On-site

Michal Mankowski, PhD the Research Engineer will join a multidisciplinary team committed to addressing critical challenges in organ transplantation and improving patient outcomes. They will have ...

NYULMC

Research Engineer

New York, NY · On-site

Michal Mankowski, PhD the Research Engineer will join a multidisciplinary team committed to addressing critical challenges in organ transplantation and improving patient outcomes. They will have ...

NYU Langone Health

Research Engineer

Manhattan, NY

Michal Mankowski, PhD the Research Engineer will join a multidisciplinary team committed to addressing critical challenges in organ transplantation and improving patient outcomes. They will have ...

New York University

Research Engineer

New York, NY · On-site

$55K - $70K/yr

Description FULL TIME RESEARCH ENGINEER New York University Tandon School of Engineering The Poudineh Lab at NYU Tandon School of Engineering is seeking to hire a Full time Research Engineer to work ...

New York University

Research Engineer

New York, NY · On-site

$26.37/hr

Description PART TIME RESEARCH ENGINEER Nanofabrication Cleanroom New York University Tandon School of Engineering The NYU Nanofabrication Facility (NYU Nanofab) provides open-access semiconductor ...

Refinitiv

Research Engineer

Manhattan, NY · On-site

$88 - $164/hr

Research Engineer** who will bring expertise in AI and ML and is interested in building data-driven capabilities that transform the way legal, accounting, and government professionals work across the ...

NYULMC

Research Engineer

New York, NY · On-site

As an ML Research Engineer, you will be a part of an interdisciplinary group of research scientists, clinicians, and engineers. In close collaboration with your colleagues, you will help develop ...

NYU Langone Health

Research Engineer

Manhattan, NY · On-site

As an ML Research Engineer, you will be a part of an interdisciplinary group of research scientists, clinicians, and engineers. In close collaboration with your colleagues, you will help develop ...

NYU Langone Health

Research Engineer

Manhattan, NY

As an ML Research Engineer, you will be a part of an interdisciplinary group of research scientists, clinicians, and engineers. In close collaboration with your colleagues, you will help develop ...

Doji

Research Engineer

New York, NY · On-site

The Role We're looking for Research Engineers to help us build the next generation of our avatar and virtual try-on models. This role is in-person from our office in NYC. As Research Engineer you ...

PDT Partners

Research Engineer

New York, NY · On-site

$190K - $250K/yr

The Research Engineering team is dedicated to accelerating the velocity of machine learning research and expanding the exploration space for innovations at PDT. We partner with PDT's quantitative ...

P2P

Research Engineer

Manhattan, NY · On-site

$175 - $225/hr

About the Role As a Research Engineer, you will be an integral member of a systematic trading team comprised of experienced technologists, quantitative researchers, and traders. You will: * Work ...

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How much do research engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for research engineer in New York is $115,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $113,800.00 per year, depending on experience, location, and employer.

What is a research engineer?

Research engineers are professionals who apply scientific and engineering principles to conduct research, develop new products, and improve existing technologies. They typically work in laboratories, research and development departments, or academic settings, collaborating with scientists and other engineers. Their work often involves designing experiments, analyzing data, and creating prototypes to solve technical problems or advance knowledge in their field.

How do research engineers typically collaborate with cross-functional teams during a project?

Research Engineers often work closely with scientists, data analysts, product managers, and software engineers to develop and implement innovative solutions. Collaboration usually involves regular meetings to align on project goals, sharing technical findings, and integrating research outcomes into product development. Effective communication and the ability to translate complex research concepts into actionable insights are key to ensuring the project progresses smoothly and meets its objectives.

What are the key skills and qualifications needed to thrive as a research engineer, and why are they important?

To thrive as a Research Engineer, a strong background in engineering principles, advanced mathematics, and scientific research—often supported by a relevant degree or postgraduate study—is essential. Familiarity with data analysis tools like MATLAB or Python, CAD software, and laboratory instrumentation is typically required, along with experience in technical report writing. Strong analytical thinking, creativity, and effective collaboration skills help Research Engineers excel in multidisciplinary teams. These competencies are vital for developing innovative solutions, advancing technology, and ensuring rigorous, impactful research outcomes.

What is the difference between Research Engineer vs Data Scientist?

AspectResearch EngineerData Scientist
Required CredentialsTypically requires a master's or Ph.D. in engineering, computer science, or related fieldsUsually holds a master's or Ph.D. in statistics, computer science, or related areas
Work EnvironmentResearch labs, R&D departments, technology companiesData analysis teams, analytics departments, tech firms
Employer & Industry UsageUsed in engineering, manufacturing, aerospace, and tech industriesCommon in finance, healthcare, marketing, and tech sectors

Research Engineers focus on developing new technologies, prototypes, and engineering solutions, often working on hardware or system design. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and advanced degrees, their core functions and industry applications differ significantly.

Do I need a PhD to be a research engineer?

A PhD is not always required to become a research engineer, as many roles value relevant experience, technical skills, and a bachelor's or master's degree in engineering, computer science, or related fields. However, some specialized research positions or advanced projects may prefer or require a doctoral degree. Practical skills, problem-solving ability, and familiarity with tools like MATLAB or Python are also important for success in this role.
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Research Engineer jobs near you
Infographic showing various Research Engineer job openings in New York as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,981 per year, or $55.8 per hour.

Research Engineer, Platform

Basis Research

New York, NY • On-site

Full-time

Re-posted yesterday

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 Engineers on the Platform team at Basis 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 both published research and shipped production code, understands how to translate experimental techniques into robust implementations, and thinks carefully about software architecture 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 do rigorous, high-quality, robust 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 are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
We expect you to:
  • Have demonstrated ability to conduct research that is of high quality. Possible ways to demonstrate this include:
    • 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. This could be 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. You think about how research advances can translate to commercial applications, platform capabilities, or open-source contributions that benefit broader communities.
  • Value software quality and reusability. You design modules that others can build on, write comprehensive documentation and tests, and architect systems that remain coherent as they evolve.
  • Progress with autonomy and intellectual curiosity. You can identify valuable research directions, design experiments, implement solutions, and evaluate results without extensive direction.
  • 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.

In addition, the following would be an advantage:
  • 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 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
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: New York City
  • Salary range: Competitive salary.

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
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.

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