generation to the implementation, testing, and real-world deployment of machine learning models. Key responsibilities: Develop and maintain accurate computational models of electrical power
grid components (e.g., transmission lines, transformers, generators, switches) and their operational constraints (e.g., power flow equations, thermal limits, voltage limits). Design, implement, and maintain … robust systems and workflows for generating large-scale synthetic datasets of power
grid optimization problems based on various open-source
grid models. Implement and utilize traditional optimization solvers (e.g., linear programming, mixed-integer programming, non-linear programming) to solve power
grid optimization problems within our generated datasets. … Analyze the performance of our machine learning models and traditional optimization methods, identify areas for improvement, and develop insightful visualizations of results, including power
grid constraint violations. Work closely with a team of engineers and research scientists, and product managers to deliver real-world impact Stay up-to-date
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