Machine Learning and Control Scientist

Design and develop machine learning and statistical inference models for control and operations optimization. Create sophisticated visualization, training, optimization, evaluation, and deployment pipelines using complex scientific data. Model physical and electronic systems for system optimization, control design, analysis, and simulation, including system identification through classical and machine learning methods. Design and deploy operational solutions applying machine learning models and control algorithms, for fusion and beyond. Disseminate work in recognized scientific journal publications, presentation at national and international level, pursuit of research projects, and collaborative work with and support of the wider DIII-D team in the above topic areas.

According to JobzMall, the average salary range for a Machine Learning and Control Scientist in 25500 E Ave R8, Palmdale, CA 93591, USA is $76,000-$106,000. The salary range depends on the experience and education level of the applicant.

General Atomics is an American energy and defense corporation headquartered in San Diego, California, specializing in research and technology development.