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Machine Learning Engineer Intern Jobs in Prince George, VA

Palnar

Machine Learning with Python Development

Richmond, VA · On-site

$49.75 - $68.75/hr

Good Machine Learning foundations, practical experience with classification, regression and clustering methods strong python coding, computing fundamentals/data structures, SQL, experience with ...

Carmax

Director, AI/ML Engineering

Richmond, VA

  • PTO

Establish a technology vision and strategy for AI engineering - spanning agentic AI, generative AI, AI workflow automation, machine learning engineering, platform, and services, focusing on business ...

Carmax

Director, AI/ML Engineering

Richmond, VA · On-site

$181K - $290K/yr

  • PTO

Establish a technology vision and strategy for AI engineering -- spanning agentic AI, generative AI, AI workflow automation, machine learning engineering, platform, and services, focusing on business ...

CarMax, Inc.

Director, AI/ML Engineering

Richmond, VA · On-site

  • PTO

Establish a technology vision and strategy for AI engineering - spanning agentic AI, generative AI, AI workflow automation, machine learning engineering, platform, and services, focusing on business ...

Carmax, Inc.

Director, AI/ML Engineering

Richmond, VA · On-site

  • PTO

Establish a technology vision and strategy for AI engineering - spanning agentic AI, generative AI, AI workflow automation, machine learning engineering, platform, and services, focusing on business ...

Socket.dev

Senior ML/AI Engineer

Richmond, VA · On-site

$114.90 - $227/hr

  • Medical

  • Life

  • Retirement

  • PTO

Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ... Data Engineering & Feature Development * Design and implement scalable features using Delta Lake ...

SynergisticIT

Junior/Entry Level Coder - Remote

Richmond, VA · On-site

$66K - $86K/yr

Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time ...

DPR Construction

MLOps Engineer

Richmond, VA

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Evonik

Summer Internship

Hopewell, VA

$21 - $27/hr

... are learning in school. Evonik's Summer Professional Enrichment (SPE) Program is a 12 week ... Process Engineering Intern: Contributed to the startup activities of a new chemical process ...

New

Evonik

Summer Internship

Richmond, VA

$21 - $27/hr

... are learning in school. Evonik's Summer Professional Enrichment (SPE) Program is a 12 week ... Process Engineering Intern: Contributed to the startup activities of a new chemical process ...

New

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Showing results 41-60

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Prince George, VA

Machine Learning Engineer Intern information

See Prince George, VA salary details

$25.2K

$42K

$86.8K

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

As of Aug 16, 2026, the average yearly pay for machine learning engineer intern in Prince George, VA is $42,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What cities near Prince George, VA are hiring for Machine Learning Engineer Intern jobs?

Cities near Prince George, VA with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Prince George, VA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $42,007 per year, or $20.2 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Williamsburg, VA • On-site

Other

Re-posted 26 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply