Source Job

• Identify appropriate computational chemistry packages and build problems that require their core capabilities.
• Develop full Python solutions with all necessary input files, geometries, and numerical outputs.
• Test problems against AI models, adjust difficulty to achieve a 10-30% pass rate, and refine based on reviewer feedback.

Austin Kake is building a talent pool of chemistry professionals to contribute to AI development projects. The company focuses on evaluating and enhancing frontier AI models in a remote, contract-based environment.

• Identify appropriate physics simulation packages and build problems that test core capabilities.
• Develop full Python solutions with accurate numerical outputs and tolerance values.
• Run problems against AI models iteratively to achieve a 10-30% pass rate.

Austin Kake builds a talent pool of physics experts for AI development projects, focusing on evaluating and enhancing frontier AI models through domain-specific simulation tools. The company operates remotely with a culture of independent problem-solving.