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Internship Machine Learning R Jobs (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience with distributed and streaming data ...

SAIC

Machine Learning Developer

Arlington, VA · On-site

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong programming skills in Python, R, C#, Java or similar languages. * Experience with deep ...

Full Scope

Machine Learning Engineer

Reston, VA

Strong proficiency in programming languages such as Python, R, or Java. * Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. * Solid ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong programming skills in Python, R, C#, Java or similar languages. * Experience with deep ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience with distributed and streaming data ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

... machine learning (e.g., Python, R, C, C++). • 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule). • 1+ year of experience working in a large ...

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$25.5K

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$88K

How much do internship machine learning r jobs pay per year?

As of Jun 4, 2026, the average yearly pay for internship machine learning r in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning R vs Data Analyst Intern?

AspectInternship Machine Learning RData Analyst Intern
Required SkillsProficiency in R, basic machine learning concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness environments, consulting firms, marketing agencies
Industry UsagePrimarily in tech, AI, and data science sectorsAcross various industries including finance, marketing, and healthcare

Internship Machine Learning R focuses on applying R programming to develop machine learning models, often in tech and AI sectors. In contrast, Data Analyst Internships emphasize data visualization, statistical analysis, and reporting across diverse industries. Both roles require data handling skills but differ in their focus on machine learning versus data interpretation.

What cities are hiring for Internship Machine Learning R jobs? Cities with the most Internship Machine Learning R job openings:
What are the most commonly searched types of Machine Learning R jobs? The most popular types of Machine Learning R jobs are:
What states have the most Internship Machine Learning R jobs? States with the most job openings for Internship Machine Learning R jobs include:
Internship Machine Learning R jobs near you
Infographic showing various Internship Machine Learning R job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 34% Full Time, and 63% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Developer

Machine Learning Developer

Science Applications International Corporation

Arlington, VA • Hybrid

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description
Description
SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team.
This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center.
The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production.
Key Responsibilities:
  • Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client.
  • Refine data collection processes and improve data quality.
  • Design and develop scalable machine learning solutions for various applications.
  • Work with software developers to integrate machine learning models into production systems.
  • Conduct research to identify new approaches and methods for machine learning and AI.
  • Stay updated with the latest trends and advancements in machine learning and AI.
  • Document processes, codes, and workflows for future reference and reproducibility.
  • Provide support and maintenance for deployed machine learning systems.
Qualifications
Required Education:
  • Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and zero (0) years related experience; four (4) years of experience considered in lieu of degree.
Qualifications:
  • Proven experience designing, developing, and deploying OpenAI solutions as a Machine Learning Developer or in a similar role.
  • Strong programming skills in Python, R, C#, Java or similar languages.
  • Experience with deep learning techniques and models.
  • Expertise in natural language processing (NLP) or computer vision.
  • Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
  • Experience with data preprocessing, data mining, and data visualization techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Familiarity with software development best practices and source control (e.g., Git).
Clearance:
  • Active Secret clearance is required for this position.

Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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