Electric Asset Management AI Solutions Intern

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:

• AI/ML market analysis and vendor selection: Help the project team manage the latter stages of the RFP process, reviewing and selecting high-potential products for further evaluation.
• Product development: support internal model development efforts by assisting the business and data science teams with product management activities such as use case refinement, requirements development, roadmap development, and user testing/interviews. 
• Product evaluation design and execution: participate in the development of evaluation criteria, planning, and depending on the rate of progress, initial evaluation execution.
• Program administration: Support the Program Manager with documentation, coordination, and improvement of the pilot program.
• Program communications: Help craft the story about computer vision’s potential within asset management to internal and external audiences. Collaborate with PG&E’s media team to highlight PG&E’s cutting-edge efforts to minimize risk while improving affordability and reliability.
• Stakeholder management: support clear, concise, and timely communications across the varied spectrum of the program’s stakeholders to ensure its continued support and success.

To close out the internship, the intern will be asked to provide a final presentation about your learnings, accomplishments, and recommendations

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Qualifications

Minimum Qualifications:

• Pursuing a bachelor’s or master’s degree in Statistics, Economics, Finance or related degree at an accredited university
• Must be returning to school in the fall to continue your education toward a degree

Desired:

• Basic familiarity with product management and associated skillsets
• Basic familiarity with asset management
• Basic familiarity with or proven interest in computer vision/AI/ML
• Proven interest in new technology and product development
• Command of Microsoft Word, Excel, PowerPoint
• Familiarity with data analytics
• Ability to translate complex technical information into compelling stories for a wide range of audiences
• Ability to work in a team environment and support fellow team members
• Ability to take initiative and work independently
• Growth mindset, curiosity, and desire to learn and develop

PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position.