AI Engineer

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.

• Assist in developing and training ML, deep learning, and NLP models.
• Support senior engineers in building and maintaining data pipelines.
• Implement basic preprocessing, feature engineering, and data validation tasks.
• Contribute to testing, evaluating, and optimizing model performance.
• Help deploy models into staging or production under guidance.
• Write clean, well‑documented Python code for AI experiments and prototypes.
• Work with APIs, model inference scripts, and small‑scale automation tasks.
• Collaborate with cross‑functional teams to understand requirements.
• Stay updated with emerging AI tools, frameworks, and techniques.

• 4+ years of experience in AI/ML engineering or relevant academic projects.
• Solid programming skills in Python and ML libraries (NumPy, Pandas, scikit‑learn).
• Basic understanding of deep learning frameworks (PyTorch/TensorFlow).
• Exposure to NLP, LLMs, or computer vision projects (academic or internships acceptable).
• Familiarity with cloud platforms (AWS/Azure/GCP) is a plus.
• Understanding of data structures, algorithms, and model evaluation metrics.
• Strong analytical thinking and willingness to learn.

• Hands‑on experience with ML projects, hackathons, or research work.
• Knowledge of Git, Docker, or basic MLOps concepts.
• Understanding of vector databases, embeddings, or RAG is a plus.

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.