Salary/Position Classification

• $20-$25 hourly, Non-Exempt (Eligible for overtime)


• 20-30 hours per week


• 100% Remote Work Availability: No


• Hybrid Work Availability (requires some time on campus): No

We are seeking a skilled Machine Learning Engineer with expertise in energy systems and data modeling to join our team on a temporary basis. This role involves developing forecasting models, simulating and analyzing energy data, and applying AI tools to substation-related datasets. If you are an MS graduate in Electrical Engineering with a passion for innovation and problem-solving, we encourage you to apply!

• Develop and refine forecasting models for energy datasets.


• Model and analyze data related to energy substation operations.


• Run advanced AI tools to identify patterns and optimize performance.


• Simulate and analyze acoustic and radar signatures for energy systems.


• Collaborate with the team to generate actionable insights and solutions.

• Strong problem-solving and analytical skills.


• Strong knowledge of machine learning and AI methodologies.

• Master's degree in Electrical Engineering (EE) or a related field.


• Experience with energy systems modeling and dataset analysis.


• Proficiency in programming languages such as Python or MATLAB.


• Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.
This position does not support visa sponsorship for continued employment.

Preferred Qualifications

• Familiarity with acoustic and radar signature simulation tools is a plus.

Please submit resume and cover letter outlining how you meet the minimum requirements.