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
What You Will Be Doing
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.
What You Will Bring to ChargePoint
- 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
Requirements
- 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
Educational Qualifications
- 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
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at [email protected].
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
ChargePoint Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ChargePoint and has not been reviewed or approved by ChargePoint.
-
Healthcare Strength — Health coverage is presented as comprehensive, with full medical, dental, and vision plus programs like EAP, life/AD&D, disability, and tax‑advantaged FSAs/HSAs. This core coverage serves as a strong foundation even when other elements feel mixed.
-
Equity Value & Accessibility — Employees can participate in an ESPP and may receive discretionary equity awards, and commentary highlights equity as a meaningful part of total compensation. In a stock‑centric pay mix, this can provide upside for those who value equity exposure.
-
Wellbeing & Lifestyle Benefits — On‑site EV charging, stocked kitchens, pet‑friendly offices, and fitness amenities are called out as everyday perks. These lifestyle benefits align with the company’s mission and can enhance the day‑to‑day experience for office‑based staff.
ChargePoint Insights
Similar Jobs
.png){kind=logo}
What We Do
Electric mobility is the smart choice. We make it the easy one, too. So easy that someone plugs into our network every 2 seconds. Since 2007, we’ve focused solely on building the best electric vehicle (EV) charging experience for everyone involved in the shift to electric. Join us in shaping the future of mobility. If you'd like to learn more about what it's like to build the new fueling network, check out our Engineering Blog: www.chargepoint.com/engineering
