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Internship Research Assistant Machine Learning Jobs

Research Assistant

Providence, RI · On-site

$41K - $68K/mo

Develop and apply machine learning tools to analysis genomic and MRI datasets. Assist in the design and implementation of computational and experimental protocols to support laboratory research ...

Research Assistant

Providence, RI · On-site

$41K - $68K/yr

Develop and apply machine learning tools to analysis genomic and MRI datasets. Assist in the design and implementation of computational and experimental protocols to support laboratory research ...

Machine Learning Research Intern, Audio As a Research Intern at Bland, you will own a focused ... research team on the same problems they are working on, not on a side track built to keep interns ...

$42.75/hr

The team is made up of machine learning researchers and engineers, who support and innovate on ... Internship experience in an AI research organization. Job Information 【For Pay ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

Since the team works closely with trading floor personnel to assist with portfolio management ... internships, undergraduate research or thesis, or substantial independent technical projects ...

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Internship Research Assistant Machine Learning information

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

As of Sep 3, 2026, the average hourly pay for internship research assistant machine learning in the United States is $19.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $23.08 per hour, depending on experience, location, and employer.

What is the difference between Internship Research Assistant Machine Learning vs Research Assistant Data Science?

AspectInternship Research Assistant Machine LearningResearch Assistant Data Science
Required CredentialsUndergraduate or graduate in CS, AI, or related fieldsUndergraduate or graduate in CS, Statistics, or related fields
Work EnvironmentAcademic labs, research institutions, tech companiesAcademic institutions, research centers, industry
Employer & Industry UsageUniversities, research firms, tech companies focusing on AI/MLUniversities, research organizations, data-driven industries
Common Search & ComparisonYesYes

The Internship Research Assistant Machine Learning and Research Assistant Data Science roles share similarities in educational background and work environments. However, the Machine Learning position emphasizes AI and ML-specific skills, while Data Science focuses more on statistical analysis and data management. Both roles are common in academic and industry settings, often compared by students and professionals exploring research opportunities in data-driven fields.

More about Internship Research Assistant Machine Learning jobs

What cities are hiring for Internship Research Assistant Machine Learning jobs?

Cities with the most Internship Research Assistant Machine Learning job openings:

What states have the most Internship Research Assistant Machine Learning jobs?

States with the most job openings for Internship Research Assistant Machine Learning jobs include:

Infographic showing various Internship Research Assistant Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,200 per year, or $19.3 per hour.

Graduate/PhD Research Intern, Machine Learning

Constellation Space

Seattle, WA • On-site

$6.0K - $7.0K/mo

Full-time

Re-posted 23 days ago


Job description

The Role

Constellation is seeking an ambitious Graduate or PhD Research Intern to join our Data Science / AI team. You will research and develop cutting-edge machine learning models to solve complex aerospace challenges, from predictive maintenance to autonomous orbital navigation.

Responsibilities

  • Conduct independent research to design and train novel machine learning architectures.

  • Analyze massive datasets derived from flight telemetry and satellite sensors.

  • Prototyping and testing algorithms in simulated aerospace environments.

  • Publish internal papers and present findings to the core engineering team.

Requirements

  • Currently pursuing a Master's or Ph.D. in Computer Science, Aerospace Engineering, Mathematics, or a related field.

  • Strong theoretical understanding of deep learning, computer vision, or reinforcement learning.

  • Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, or JAX).

  • Ability to work on-site in Seattle for the duration of the internship.