Machine Learning Engineer Data Science Intern information
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$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$76.6K - $82.3K
0% of jobs
How much do machine learning engineer data science intern jobs pay per year?
As of Sep 10, 2026, the average yearly pay for machine learning engineer data science 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.
A Machine Learning Engineer Data Science Intern assists in developing and implementing machine learning models and data-driven solutions under the guidance of experienced professionals. The role typically involves data preprocessing, feature engineering, model training, and evaluation. Interns often collaborate with teams to solve real-world problems using statistical analysis and programming. They gain hands-on experience with popular tools and frameworks, such as Python, TensorFlow, and scikit-learn. This internship helps build foundational skills for a future career in machine learning and data science.
As a Machine Learning Engineer Data Science Intern, you will often be assigned to real-world projects such as building predictive models, cleaning and preprocessing data, and assisting with the deployment of machine learning solutions. You’ll collaborate closely with senior data scientists, software engineers, and sometimes product managers, receiving guidance during code reviews and regular team meetings. The environment is typically fast-paced and supportive, encouraging learning through mentorship and hands-on experience. Interns are expected to communicate their findings clearly and contribute to the team’s problem-solving efforts.
To thrive as a Machine Learning Engineer Data Science Intern, you need a strong background in mathematics, statistics, and programming (typically Python), supported by coursework or a degree in computer science, data science, or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Problem-solving skills, intellectual curiosity, and effective communication make a candidate stand out in collaborative and dynamic environments. These skills are vital for analyzing complex datasets, building reliable models, and clearly communicating insights that drive data-driven decision-making.
What cities are hiring for Machine Learning Engineer Data Science Intern jobs?
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