Electric Asset Management AI Solutions Intern
 PG&E | |
 United States, California, Oakland | |
 Apr 05, 2025 | |
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Requisition ID# 164482 Job Category: Administrative / Clerical Job Level: Individual Contributor Business Unit: Electric Engineering Work Type: Hybrid Job Location: Oakland Department Overview The Electric Asset Management (EAM) is responsible for the electric system engineering and planning, asset strategy, and risk management across transmission, distribution, and substation asset families. The team leverages a data-driven, standards-based and risk-informed approach to manage electric asset and system health, capacity, and performance. The organization is accountable for asset planning and strategy, standards and work methods, and asset data management for Electric. As part of the EAM team, the Asset Knowledge Management (AKM) organization is responsible for guiding the acquisition, management, quality, and access of PG&E's electric asset data. The team's objective is to maximize the use of and ensure the trustworthiness of PG&E's critical electric data assets and includes the development of analytic and situational intelligence tools that leverage this critical data. Position Summary AKM is implementing a pilot program to develop, test and deploy innovative artificial intelligence (AI) solutions to validate and improve its Asset Registry systematically and cost-effectively. The pilot program will also test the ability of AI solutions to assets to detect and characterize visible issues affecting asset health. AI solutions will primarily focus on the identification, development, and testing of computer vision models. By applying machine learning models to predict and identify asset types, attributes, and their conditions using field-collected images, we seek to improve the results of human-based data management and inspection activity by making them more scalable, cost-effective, safer, and more standardized. The AKM team is seeking a curious, tenacious college student to join us for the summer of 2025. We're looking for someone eager to learn about subject matters like California's electric system, asset management, AI/ML as well as functional skills like stakeholder management and product management. This individual will directly support the Program Manager with the management and execution of the pilot program, potentially engaging with a broad range of internal and external stakeholders. This position is based out of PG&E's General Office in downtown Oakland, CA. The team has a hybrid work model; most day-to-day work will be performed remotely, with the expectation of working from Oakland or at the locations of our partner teams a few days per month. PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. The hourly rate for this position ranges from $19.91 to $34.02. Responsibilities The successful candidate will work with the Project Lead to craft the scope of their internship in the first week to make sure the experience meets their goals and interests as well as the needs of the program. Some areas they may work on include but are not limited to:
To close out the internship, the intern will be asked to provide a final presentation about your learnings, accomplishments, and recommendations Is machine learning Qualifications Minimum Qualifications:
Desired:
PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position. | |