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Research Assistant Machine Learning Jobs (NOW HIRING)

Apple

AIML - Machine Learning Research

Seattle, WA

$142K - $263K/yr

We are an Applied ML team pushing the limits of question answering, assistant response ranking ... As part of this group, you will be doing large scale machine learning and deep learning research ...

ISEE

Research Scientist - Machine Learning

... Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

ISEE

Research Scientist - Machine Learning

... Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research agenda, helping to translate innovative research into production systems that effectively address user ...

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research agenda, helping to translate innovative research into production systems that effectively address user ...

Northeastern University

Research Assistant

Boston, MA · On-site

$21 - $28.75/hr

Northeastern University is seeking a Research Assistant in the Computational Optics and ... in machine learning, large-data processing and software development, including Python, HTML, CSS ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

We apply deep learning research to large scale neural datasets to decode internal thought directly ... You will design and implement advanced machine learning models for EEG-based neural decoding ...

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How much do research assistant machine learning jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for research assistant machine learning in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

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Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Research Engineer, Machine Learning

Basis Research

New York, NY • On-site

$120K - $180K/yr

Full-time

Re-posted 7 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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