Software Intern - ML

With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.

Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.

At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.

Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.

Director, NOC Delivery & Automation

We’re looking for an AI/Machine Learning Intern to join our team and work on building intelligent systems that solve real-world problems. You’ll gain hands-on experience developing, training, and deploying machine learning models while collaborating with experienced engineers and data scientists.

• →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
• →Document experiments, results, and methodologies for reproducibility

• 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
• Familiarity with data manipulation using Pandas and NumPy
• Experience with natural language processing (NLP) using libraries like Hugging Face Transformers, spaCy, or NLTK
• Familiarity with computer vision frameworks and techniques (OpenCV, CNNs, YOLO, or torchvision)
• Experience with vector databases (Pinecone, Weaviate, ChromaDB) for semantic search
• Knowledge of diffusion models (Stable Diffusion, DALL-E) or GAN architectures
• Hands-on experience with LLMs (GPT, Claude, Llama) and prompt engineering
• Experience with cloud platforms (AWS, GCP, Azure) for ML workloads
• Knowledge of MLOps practices including model versioning, experiment tracking (MLflow, Weights & Biases), and deployment
• Published research or personal projects demonstrating ML expertise
• Participation in Kaggle competitions or similar challenges

• Currently pursuing B.Tech/M.Tech in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field
• Minimum 90% or 9.0 CGPA in current degree program
• Minimum 90% in Class XII / Class X (or equivalent)
• No active backlogs at the time of application

Bangalore