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As a Fullstack Software Engineer at Gridmatic, you'll build an end-to-end platform supporting long-term machine learning forecasting for energy contracts. Responsibilities include developing web frontends for energy usage analysis, internal tools for pricing based on AI forecasts, and establishing data infrastructures for clean energy resource management.

As an AI Research Scientist, you will conduct applied research to advance machine learning techniques in energy markets, investigate new technologies, design solutions for unsolved problems, and publish findings in academic papers. Key responsibilities include developing mathematical understandings of energy systems, analyzing experiments, and implementing ML techniques.

The Optimization Research Scientist will focus on applied research in mathematical optimization methods, particularly in the context of energy markets. Responsibilities include designing optimization formulations, promoting mathematical modeling, authoring research papers, and coding in Python using optimization libraries. A strong publication record and a PhD in a quantitative field are required.