Machine Learning/Data Science Intern

Bloom Energy • San Jose, CA

1d • $46 - $50

About The Position

Bloom Energy, a solid oxide fuel cell company, is looking for a Machine Learning/Data Science Intern to join its world class team. This individual should be a dynamic professional who is looking for a rewarding future in one of today’s most exciting technologies. Role Overview We are seeking a motivated intern to support our Machine Learning (ML) and Artificial Intelligence (AI) initiatives. The intern will assist in data collection, analysis, and processing for pilot projects. This role offers hands-on experience in applying data science techniques to real-world manufacturing and quality challenges.

Requirements

• Currently pursuing a Master’s degree in Data Science, Computer Science, Electrical Engineering, or related field.
• Graduating between May 2026 and August 2027

Nice To Haves

• Strong foundation in Python and libraries such as Pandas, NumPy, Scikit-learn, Tensorflow, Pytorch.
• Familiarity with machine learning concepts and data preprocessing techniques.
• Ability to work independently and manage multiple tasks in a fast-paced environment.
• Excellent communication and documentation skills.
• Highly motivated and self starter
• Experience with image processing or topography data analysis.
• Knowledge of statistical methods and data visualization tools (e.g., Matplotlib, Seaborn).
• Exposure to manufacturing or semiconductor processes is a plus.

Responsibilities

• Collect, clean, and organize large datasets.
• Perform exploratory data analysis and generate insights to support ML models.
• Assist in developing and validating algorithms for data processing.
• Collaborate with cross-functional teams to ensure data integrity and quality.
• Document workflows and maintain clear records of analysis and findings.

Benefits

• Opportunity to work on cutting-edge ML/AI projects in a high-impact environment.
• Mentorship from experienced professionals in quality and data science.
• Hands-on experience with real-world datasets and industrial applications.

What This Job Offers

• Career Level: Intern