Quantum Software Engineer - Machine Learning

About the position

The newly hired Quantum Software Engineer - Machine Learning is responsible for designing, training, and deployment of classical machine learning models for a variety of downstream tasks in the domains of sensing and signal processing. As a member of the Quantum Software division, this role will involve close collaboration with teams working on the development of quantum sensors and hybrid quantum software applications.

Responsibilities

• Develop and implement custom machine learning models for a variety of tasks in the domains of signal processing and sensor fusion
• Stay up-to-date on literature, identify and pursue cutting edge model development techniques for low SWaP deployment
• Communicate and interpret cutting-edge research in both theory and experiment with colleagues
• Engage with the broader scientific community by publishing research findings in scientific journals and presenting at conferences
• Stay up to date with the latest developments in machine learning and sensor fusion
• Provide guidance and support to other team members, fostering a collaborative research environment