Staff Machine Learning Engineer
Santa Clara, California, United StatesNorth America
You will combine machine learning, data analysis, modelling, and experimental testing to develop predictive models based on experimental and field data, supporting the characterization and optimization of key parameters of the heat pump refrigeration cycle.
You will contribute to an industrial research project focused on the development and optimization of heat pump systems.
Your main responsibilities will be.
Develop, evaluate, and improve machine learning models using experimental and field data from heat pump systems.
Analyse data, model and simulate dynamic systems, and develop numerical approaches to address complex engineering problems.
University degree in Mechanical Engineering, Electrical Engineering, Mathematics, Computer Science, or a comparable technical field.
Good understanding of machine learning models and data-driven engineering methods, with the ability to apply them to engineering problems.
Good programming skills in Python and/or MATLAB for data analysis, modelling, simulation, or machine learning applications.
Experience working with experimental and/or field data, including data processing, analysis, and interpretation.
Experience: Entry-level · Job type: Full-time
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