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Machine Learning Research Intern Jobs in Ridgewood, NJ

New York University

Research Intern

New York, NY · On-site

$48K - $62.50K/mo

... paid Research Intern to work with Prof. Nasir Memon. New York University (NYU) is one of the top ... and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a ...

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$25.8K

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$89K

How much do machine learning research intern jobs pay per year?

As of Jun 3, 2026, the average yearly pay for machine learning research intern in Ridgewood, NJ is $43,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Research Intern, and why are they important?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by Machine Learning Research Interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a Machine Learning Research Intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
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Machine Learning Research Intern jobs near you

Research Engineer, Machine Learning

Basis Research

Manhattan, NY • On-site

Full-time, Part-time

Posted 16 days ago

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 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
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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