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.

As a Research Scientist, you will conduct research focusing on AGI, design and implement AI algorithms and systems, collaborate with teams, and present findings.