Machine Learning/Data Science Intern at Bloom Energy in San Jose, CA

Summary: Bloom Energy is a solid oxide fuel cell company seeking a Machine Learning/Data Science Intern to support its ML and AI initiatives. The intern will assist in data collection, analysis, and processing for pilot projects, gaining hands-on experience in applying data science techniques to real-world challenges. 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 Required Qualifications: - Currently pursuing a Master's degree in Data Science, Computer Science, Electrical Engineering, or related field - Graduating between May 2026 and August 2027 Preferred Qualifications: - 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 Required Skills: Python, Machine Learning, Data Analysis Important Skills: Data Visualization, Statistical Methods Nice-to-Have Skills: Image Processing, Self-motivated 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.