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Machine learning internships

Find machine learning opportunities without turning your search into another project. Ntern is a free technical-role radar for students, with a clear path to the employer’s official application.

Browse machine learning internships

Look beyond the model name

A machine learning role may involve experiments, data preparation, model evaluation, production systems, or a combination. Read the responsibilities to distinguish research work from applying models in a product or maintaining the infrastructure around them.

Check the stated degree requirement. Some postings are intended for undergraduates, while others ask for a master’s or PhD student or a specific research background. A technical title alone does not establish eligibility. The employer’s full description is the place to confirm the requirement.

How Ntern supports the search

Ntern brings reviewed employer feeds and attributed community sources together, with source labels on role summaries. Browse without an account, then open the official application when a role fits. In the app, set preferences and device alerts without signing in; create an account if you want synced saved applications or a stored résumé or profile.

Prepare for the actual work

Choose projects to discuss that connect to the responsibilities in the posting. For an evaluation role, that might mean explaining your dataset, baseline, metric, and what changed after an experiment. For an engineering role, consider the reliability and deployment work around the model.

Confirm location, dates, pay, and work authorization on the employer’s site. Ntern helps with discovery and handoff; you decide whether the role fits and submit the application yourself.

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