Grid AI Research Engineer - Power Systems & ML

Google LLC; San Francisco (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

DeepMind in San Francisco, CA, seeks a Sustainability Research Engineer to advance grid-aware AI and energy systems. The role involves building and evaluating models, running large-scale experiments, and collaborating with Energy grids and Weather teams to apply dynamic line rating within grid optimization.

You will publish findings with partners and contribute to cross-disciplinary research, while helping drive real-world sustainability projects across global grids.

Qualifications

• Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience.
• 3 years of experience with software engineering/programming.
• 3 years of experience in power or performance modeling or systems performance analysis.
• 2 years of experience in machine learning fields.
• Experience working with real grid operator data.

Responsibilities

• Enhance technologies for power grids such as dynamic line rating.
• Work closely with the Energy grids and Weather teams to integrate dynamic line rating into grid optimization and operation.

Skills

Software engineering

Power modeling

Machine learning

Grid data analysis

Education

Bachelor's degree in Electrical Engineering

Job description

DeepMind in San Francisco, CA, seeks a Sustainability Research Engineer to advance grid-aware AI and energy systems. The role involves building and evaluating models, running large-scale experiments, and collaborating with Energy grids and Weather teams to apply dynamic line rating within grid optimization.

You will publish findings with partners and contribute to cross-disciplinary research, while helping drive real-world sustainability projects across global grids.