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Machine Learning Research Intern Jobs in Providence, RI

Newport Mental Health

Philanthropy Intern

Middletown, RI · On-site +1

$15 - $20/hr

This internship provides a hands-on learning experience supporting donor engagement, fundraising ... Research prospective individual, corporate, and foundation donors to support fundraising strategies ...

Medtronic

Engineering Intern - Summer 2027

Mansfield, MA

$17.75 - $23/hr

Research & Development Engineering * Support design, development, analysis, and testing of ... machining, and material handling. * Provide technical and sustaining engineering support within ...

Medtronic

Engineering Intern - Summer 2027

Mansfield, MA

$17.75 - $23/hr

Research & Development Engineering * Support design, development, analysis, and testing of ... machining, and material handling. * Provide technical and sustaining engineering support within ...

Newport Mental Health

Grants Project Intern

Middletown, RI · On-site

$29K - $34K/yr

Essential Duties: * Researching federal, state, and local funding opportunities relevant to ... Interest in learning about mental health and substance use treatment systems * Understanding of ...

New

Newport Mental Health

Grants Project Intern

Middletown, RI · On-site +1

$29K - $34K/yr

Essential Duties: * Researching federal, state, and local funding opportunities relevant to ... Interest in learning about mental health and substance use treatment systems * Understanding of ...

New

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All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Providence, RI

Machine Learning Research Intern information

See Providence, RI salary details

$25.8K

$43K

$88.9K

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

As of Aug 14, 2026, the average yearly pay for machine learning research intern in Providence, RI is $43,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 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?

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.

What job categories do people searching Machine Learning Research Intern jobs in Providence, RI look for?

The top searched job categories for Machine Learning Research Intern jobs in Providence, RI are:

Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in Providence, RI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,019 per year, or $20.7 per hour.

Postdoctoral Research Associate in Particle Astrophysics (Gaitskell)

Brown University

Providence, RI • On-site

Full-time

Re-posted 19 days ago

Brown University rating

8.1

Company rating: 8.1 out of 10

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Job description

Description
The Particle Astrophysics Group in the Department of Physics at Brown University will have an opening for a postdoctoral research associate starting August 1, 2025 or earlier if desired. Timing can be negotiated. The position will involve working on the LUX ZEPLIN (LZ) dark matter search experiment, on the applications of machine learning in physics data analysis, and on new photodetector development.
Details of the research programs and the members of the Brown Particle Astrophysics Group are shown at https://particleastro.brown.edu. The group is led by Prof. Rick Gaitskell and is focused on experimental searches for dark matter. Brown is a major group in the world-leading LZ 8-tonne liquid xenon TPC direct detection experiment that is currently operating underground at Sanford Lab. Detector operations and follow-up data analysis are expected to extend into 2027.
The research will include dark matter search data analysis, nuclear recoil detector calibration techniques including the use of a deuterium-deuterium accelerator source, photodetector development for next-generation experiments, and also machine learning applied in a range of physics analyses. Previous experience with noble liquid detectors, direct dark matter search experiments, photodetectors, low-background techniques, data analysis, machine learning, or Monte Carlo simulations (GEANT4) will be advantageous. We are also looking at developing future small/fast satellite missions in particle astrophysics. There are no teaching responsibilities associated with this position.
The Brown University Department has a very active program in experimental and theoretical Astrophysics, Particle Astrophysics, Cosmology, and Particle Physics.
Applications should be submitted by December 1, 2024 for full consideration, although review of applications will continue on a rolling basis until the position is filled. Any inquiries should be sent to Particleastro_postdoc@brown.edu. Submission is made online using http://apply.interfolio.com/116965.
Brown University seeks to recruit and retain a diverse workforce to maintain the excellence of the University and to offer our students richly varied disciplines, perspectives, viewpoints, and ways of knowing and learning.
Qualifications
Initial offers will be made for one year, with the potential for renewal for a further two years. The successful applicant must have completed the requirements for a Ph.D. or equivalent qualification in physics, astrophysics, computer science, or a related disciple prior to the start of the appointment.
Application Instructions
Interested candidates should submit the following application materials:
- Curriculum vitae.
- Statement of research interests. The statement of research interests should not exceed 3 pages, excluding the bibliography.
- Three letters of recommendation submitted prior to the application deadline.
Applicants should state in their cover letter how, through their research approaches and/or public engagement, they are prepared to advance Brown's strong commitment to diversity, equity, and inclusion.

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