Software Intern - ML

• Develop and train machine learning models for classification, regression, and NLP tasks
• Preprocess, clean, and analyze datasets to extract meaningful insights
• Experiment with model architectures and hyperparameter tuning to improve performance
• Build and maintain data pipelines for model training and inference

This role contributes to building intelligent systems that solve real-world problems in electric vehicle charging, supporting the transition to electric mobility and creating a more sustainable transportation future.

• Strong programming skills in Python
• Basic knowledge of statistics and linear algebra
• Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
• Understanding of core ML concepts including supervised/unsupervised learning, neural networks, and model evaluation metrics

No specific benefits or compensation mentioned in the posting.

ChargePoint is at the center of the electric vehicle revolution, powering one of the world's leading EV charging networks and providing comprehensive hardware, software, and mobile solutions across North America and Europe to make the transition to electric easy for businesses, fleets, and drivers.