Internship — Machine Learning
Machine Learning
Prepare data, build and evaluate models, and learn what separates a demo model from a usable one.
Applications openAll opportunities
- Role
- Machine Learning Intern
- Department
- Machine Learning
- Duration
- To be confirmed
- Work mode
- To be confirmed
- Commitment
- To be confirmed
- Openings
- To be confirmed
Overview
You work through the practical side of machine learning: getting data into shape, training and comparing models, and measuring results honestly before anything is called finished.
Preferred skills
- Python
- NumPy / pandas
- scikit-learn basics
- Statistics fundamentals
- Git
These are preferences, not hard requirements. Genuine interest and a willingness to learn matter.
What you'll learn
- Data cleaning, splitting and feature preparation
- Training and comparing candidate models
- Evaluation metrics and reading them correctly
- Reproducible experiments and notebooks
- Turning a model into something callable
- Documenting assumptions and limitations
Eligibility
- Genuine interest in the selected domain
- Basic working understanding of the relevant technologies
- Willingness to learn and take feedback
- Able to communicate and collaborate in writing
- Able to commit to the internship duration and expected hours
Who should apply
- Undergraduate students
- Recent graduates
- Early-career developers
- Self-taught developers with work they can show
- Anyone genuinely interested in the domain they are applying to
Apply for the Machine Learning Intern opportunity.
Apply now
Every application is read and assessed against the requirements of the selected opportunity. Shortlisted candidates are contacted directly. Selection is not guaranteed.
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