Ml Intern information
See Raleigh, NC salary details
$11.36 - $12.72
3% of jobs
$12.72 - $14.08
9% of jobs
$14.52 is the 25th percentile. Wages below this are outliers.
$14.08 - $15.44
21% of jobs
The median wage is $16.01 / hr.
$15.44 - $16.80
26% of jobs
$17.88 is the 75th percentile. Wages above this are outliers.
$16.80 - $18.16
13% of jobs
$18.16 - $19.52
12% of jobs
$19.52 - $20.88
4% of jobs
$20.88 - $22.24
3% of jobs
$22.24 - $23.60
3% of jobs
How much do ml intern jobs pay per hour?
As of Aug 18, 2026, the average hourly pay for ml intern in Raleigh, NC is $16.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.
ML Interns, or Machine Learning Interns, are students or recent graduates who assist with machine learning projects within an organization. They typically work under the guidance of experienced data scientists or machine learning engineers to help develop, test, and improve algorithms and models. Their tasks may include data preprocessing, model training, performance evaluation, and documentation. ML Interns gain practical experience and exposure to real-world applications of machine learning, helping bridge the gap between academic learning and industry practice.
To thrive as an ML Intern, you need a strong understanding of machine learning fundamentals, programming skills in Python or R, and a background in mathematics or computer science. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Curiosity, problem-solving abilities, and effective communication help you learn quickly and collaborate with experienced team members. These skills enable you to contribute to real-world projects, adapt to evolving technologies, and grow within the field of machine learning.
ML Interns often contribute to data preprocessing, model development, and performance evaluation tasks under the guidance of senior data scientists or engineers. Projects may include building prototypes, improving existing algorithms, or supporting data analysis for real-world applications. To make the most impact, interns should proactively seek feedback, document their work clearly, and communicate progress with their team. Engaging in code reviews and collaborating across departments can also help interns gain valuable experience and demonstrate their initiative.
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