Machine Learning Chemistry 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 chemistry intern jobs pay per year?
As of Sep 10, 2026, the average yearly pay for machine learning chemistry 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 Chemistry Intern applies machine learning techniques to solve problems in chemistry, such as predicting molecular properties, drug discovery, or materials design. They typically work with large datasets, develop and test predictive models, and collaborate with chemists and data scientists. Their work accelerates research by automating complex analyses and generating insights that would be difficult to obtain using traditional methods.
As a Machine Learning Chemistry Intern, you can expect to work on projects that involve applying machine learning algorithms to chemical data, such as predicting molecular properties, optimizing chemical reactions, or analyzing large datasets from experiments or simulations. You may collaborate with computational chemists and data scientists, assisting in data preprocessing, model development, and validation. Interns often participate in regular team meetings, present their findings, and contribute to research papers or internal reports. This role offers hands-on experience with both computational chemistry tools and modern machine learning frameworks.
To thrive as a Machine Learning Chemistry Intern, a strong background in chemistry, mathematics, and programming (typically Python) is essential, often complemented by coursework or experience in machine learning. Familiarity with tools like TensorFlow or PyTorch, cheminformatics libraries (such as RDKit), and data analysis platforms is highly valuable. Strong problem-solving skills, attention to detail, and effective communication abilities help interns excel in collaborative research environments. These competencies enable interns to contribute meaningfully to projects by bridging chemistry and data science, leading to innovative solutions in computational chemistry.
What are the most commonly searched types of Machine Learning Chemistry jobs?
The most popular types of Machine Learning Chemistry jobs are:
What are popular job titles related to Machine Learning Chemistry Intern jobs?
For Machine Learning Chemistry Intern jobs, the most frequently searched job titles are: