Responsibilities:

• Develop software infrastructure to facilitate the application of ML methods to solve problems in the quantum computing stack.
• Write code to enable the running and recording of large-scale experiments in improving the quantum computing stack, using existing ML libraries when appropriate.
• Run experiments in improving the quantum computing stack.

Key Requirements:

• Master's Degree or Ph.D. in Physics, Computer Science, Computational Chemistry, Applied Mathematics, or related engineering field or equivalent experience.
• Experience in using deep learning methods, such as large language models, reinforcement learning, as well as other machine learning methods, in a scientific context, and at large scale.
• Familiarity with using high performance compute clusters and multi-GPU servers.
• Familiarity with the commonly-used ML toolkits, such as PyTorch and TensorFlow.

Desirable Skills:

• Familiarity with quantum computing concepts, or a related field such as quantum many-body physics.
• Experience contributing to open-source software.
• Strong background in software engineering, specifically experience in scientific software development.

PI253505279