Quantum Software Engineer - Machine Learning
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Job Description
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.
Job Responsibilities
The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned:
- 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