Climate & Earth ML Scientist — Remote Sensing & Emissions
Today
San Francisco, California, United States
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Job Description
Carbon Mapper, Inc. is seeking a Climate & Earth ML Scientist specializing in remote sensing and emissions. This remote position involves developing machine learning algorithms and analyzing geospatial data in collaboration with research teams. Candidates should have a relevant Bachelor's degree and experience with ML libraries like PyTorch or TensorFlow. The salary ranges from $120,000 to $145,000, and the company promotes a diverse and inclusive virtual work environment.
A non-profit organization is seeking a Machine Learning Scientist to enhance Earth science projects using machine learning methods. This role involves developing algorithms, analyzing geospatial data, and collaborating with research teams. Strong candidates will have a Bachelor’s degree in a relevant field and experience with machine learning libraries like PyTorch or Tensor Flow. Compensation ranges from $120,000 to $145,000, and the role embraces a virtual office environment, promoting a diverse and inclusive workplace.
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Carbon Mapper
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