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About Pravāh Pravāh is building foundational intelligence for the electric grid. We are a team of researchers and engineers who met at Stanford. We use machine learning to help electric utilities make real-time decisions on grid planning and operations to reduce blackout risks and reduce volatility caused by extreme events. We are backed by Khosla Ventures, Pear VC, and Conviction. To know more about who we are, what we are building, and why we are excited read this Notion! https://pravah.notion.site/ The Role We do not have a predefined job description for this posting, and that is intentional. If you have come across what we are building and thought "I know exactly how I could contribute, but I do not see a role for it," this is for you. We are open to exceptional people across machine learning, software engineering, power systems, weather, business development, operations, and domains we have not even thought of yet. We are a small team solving genuinely hard problems at the frontier of AI and physical infrastructure. The right person for this role will come in with a point of view: a clear sense of what they are great at, where they see a gap at Pravāh, and how they would fill it. We will figure out the rest together. What You Might Work On This depends entirely on you and what you bring. Past examples of roles candidates have proposed, or that we could imagine: A machine learning researcher who wants to define a new modeling direction in GNNs, RL, or computer vision A power systems engineer who wants to bridge grid physics and our AI stack A forward deployed engineer who understands utility operations and wants to own technical deployments end-to-end A founding engineer who wants to own our product deployment A weather scientist who sees an opportunity to push the frontier of AI-weather prediction for grid applications A GTM or BD specialist who knows the utility landscape and wants to build our commercial motion What we always look for High agency and a bias f