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Hourly Machine Learning Intern information

Is $20 an hour good for an internship?

For an hourly machine learning intern, $20 an hour is generally considered competitive, especially for entry-level positions that may require basic programming skills in Python or experience with tools like TensorFlow. Internships often pay between minimum wage and $20 or more, depending on the industry, location, and required skills. Factors such as workload, learning opportunities, and company size also influence whether the pay is appropriate.

How much do ML interns get paid?

Hourly machine learning interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often include opportunities to work with tools like Python and TensorFlow and may require a background in computer science or related fields.

Is 23 an hour good for an internship?

For an hourly machine learning intern, $23 an hour is generally above the average internship pay, which often ranges from minimum wage to around $20 per hour depending on location and company. This rate can reflect the technical skills required, such as programming in Python or using machine learning frameworks, and may be considered competitive in many regions. However, pay standards vary widely based on geographic area, industry, and the intern's experience level.

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

AspectHourly Machine Learning InternHourly Data Science Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually enrolled in or graduated from a program in Data Science, Statistics, or related areas; proficiency in data analysis tools
Work EnvironmentTech companies, startups, research labs focusing on ML model developmentOrganizations applying data analysis to business problems, often in tech, finance, or healthcare sectors
Employer & Industry UsageCommonly used in AI/ML-focused roles within tech industriesWidely used across industries for data-driven decision making

The Hourly Machine Learning Intern focuses on developing and testing machine learning models, requiring programming and ML-specific skills. In contrast, the Hourly Data Science Intern emphasizes analyzing data to extract insights, often involving statistical analysis and data visualization. Both roles are valuable entry points in data-related fields but differ in technical focus and daily tasks.

What are the most commonly searched types of Machine Learning Intern jobs in Virginia? The most popular types of Machine Learning Intern jobs in Virginia are:
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What job categories do people searching Hourly Machine Learning Intern jobs in Virginia look for? The top searched job categories for Hourly Machine Learning Intern jobs in Virginia are:
What cities in Virginia are hiring for Hourly Machine Learning Intern jobs? Cities in Virginia with the most Hourly Machine Learning Intern job openings:
Hourly Machine Learning Intern jobs near you
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Harrisonburg, VA • On-site

Other

Posted 2 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

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