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Applied Machine Learning Intern Jobs in Oklahoma

Strayos

$13 - $17.50/hr

Our applied science team uses these datasets to better understand our customers critical business ... machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to ...

RAE Corporation

MFG Intern

Pryor, OK · On-site

summary of position The summer internship starts in May and ends in August. Interns will work alongside RAE employees on the production floor for a local manufacturer of refrigeration and HVAC ...

Strayos

... and machine learning platforms to the edge with node devices. About the role Strayos is looking for an business and product marketing intern to help accelerate product growth by championing the ...

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Applied Machine Learning Intern information

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

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Infographic showing various Applied Machine Learning Intern job openings in Oklahoma as of May 2026, with employment types broken down into 34% Internship, 44% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% In-person job distribution.

Radar Intern

Rainmaker Technology Corporation

Norman, OK • On-site

Internship

Posted 25 days ago

Job description

Position: Summer Research Intern: Weather & Machine Learning
Duration: 10-12 weeks
Level: Undergraduate or Graduate
Overview: We are seeking a motivated student with coursework in meteorology and hands-on experience with machine learning to join our research team for the summer. The intern will contribute to a project focused on using machine learning to better understand and track microscale features within winter weather systems using radar data.
Responsibilities
  • Work with radar datasets to identify and organize cases of microscale features
  • Assist in preparing and processing data for use in machine learning models
  • Help evaluate and visualize model results using Python-based tools
  • Contribute to team meetings and discussions about storm behavior and model performance
  • Document progress and assist in preparing summaries of findings

Qualifications
  • Currently enrolled in an undergraduate or graduate program in meteorology, atmospheric science, or a related field
  • Basic familiarity with radar products through coursework or experience
  • Prior coursework or project experience in machine learning or data science
  • Proficiency in Python for data analysis

Preferred
  • Coursework or experience in radar meteorology
  • Experience with or understanding of cloud seeding atmospheric effects
  • Familiarity with deep learning frameworks such as PyTorch or TensorFlow
  • Experience with data analysis tools such as Py-ART, MetPy, xarray, or similar
  • Prior research experience of any kind (REU, class projects, lab work)

What You Will Gain
  • Hands-on experience applying machine learning to real operational radar data
  • Mentorship from researchers across meteorology and data science
  • A meaningful research contribution suitable for graduate school applications
  • Collaborative work environment bridging atmospheric science and modern data science methods

Apply