Bloom Energy
San Jose, California
AI Automation Intern
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Department Overview
The Program Management team is responsible for the global program of fuel cell projects and plays a critical role in ensuring that strategic initiatives and complex projects are executed efficiently across Bloom’s organization.
Position Responsibilities
- Define full project plan and demonstrate proof of concept to create one or more custom AI agents that can receive emails and take administrative actions.
- scheduling meetings
- managing to-do lists
- extracting and cataloguing key information such as risks and updates
- identifying the associated tasks or workflows in BE’s online systems
- requesting permission to modify or run the identified tasks or workflows
- Collect, clean, and analyze structured and unstructured data from various sources.
- Build dashboards and reports using tools like Excel, Tableau, Power BI, or similar.
- Assist in identifying trends, patterns, and anomalies in data sets.
- Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
- Support the implementation of AI models for predictive analytics, classification, and automation.
- Work with data scientists and engineers to integrate machine learning algorithms into business workflows.
- Document methodologies, findings, and AI model performance in a clear and concise manner.
- Contribute to ad hoc analysis and reporting requests.
Minimum Qualifications
- Currently a student earning a Master’s in Data Science, Statistics, Mathematics, Computer Science, or a related field required.
- Must be graduating between May 2026 and August 2027
- Strong analytical and problem-solving skills.
- Proficiency in Excel and at least one programming language (e.g., Python, R, SQL).
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Excellent communication and collaboration skills.
- Attention to detail and a passion for working with data and AI.
Desired Qualifications
- Experience with statistical analysis or machine learning concepts.
- Prior internship or project experience involving data analysis or AI implementation.
- Knowledge of cloud platforms (e.g., AWS, Azure).