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Hourly Machine Learning Intern information

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$25.5K

$42.6K

$88K

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

As of Jul 21, 2026, the average yearly pay for hourly machine learning intern 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.

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.

More about Hourly Machine Learning Intern jobs
What cities are hiring for Hourly Machine Learning Intern jobs? Cities with the most Hourly Machine Learning Intern job openings:
What are the most commonly searched types of Machine Learning Intern jobs? The most popular types of Machine Learning Intern jobs are:
What states have the most Hourly Machine Learning Intern jobs? States with the most job openings for Hourly Machine Learning Intern jobs include:
What job categories do people searching Hourly Machine Learning Intern jobs look for? The top searched job categories for Hourly Machine Learning Intern jobs are:
Hourly Machine Learning Intern jobs near you
Infographic showing various Hourly Machine Learning Intern job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 45% Full Time, 50% Part Time, 1% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Applied Machine Learning Intern

WaveWorks Technologies Inc

Seattle, WA

Full-time

Re-posted 26 days ago

Job description

Applied Machine Learning Intern

WaveWorks is building applied AI systems for real-world industrial environments. We are seeking a hands-on Applied Machine Learning Intern to work directly on live deployment data, develop modeling approaches, and take ownership of analysis for an active site.


RESPONSIBILITIES

  • Process, clean, and structure large-scale audio/time-series datasets
  • Align data with ground truth and validate data quality
  • Develop and evaluate modeling approaches for predictive maintenance
  • Design and run structured experiments, analyze results, and document findings
  • Improve data workflows and evaluation pipelines


REQUIRED QUALIFICATIONS

  • Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related field
  • Strong Python skills
  • Experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
  • Comfortable working with real-world, noisy datasets
  • Strong analytical and documentation skills


PREFERRED QUALIFICATIONS

  • MS or PhD candidate in a relevant technical field
  • Experience with audio processing or time-series feature engineering
  • Familiarity with anomaly detection
  • Exposure to signal processing concepts (FFT, spectrograms, filtering)
  • Experience designing and evaluating structured ML experiments
  • Self-driven and comfortable operating in an early-stage environment



WaveWorks is committed to a friendly and welcoming working environment. WaveWorks does not discriminate based on race, gender, age, religious affiliation, or any other legally protected status.

WaveWorks is located in downtown Seattle, Washington.



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