Machine Learning Scientist; Climate and Earth Sciences

Machine Learning Scientist(Climate and Earth Sciences)

Carbon Mapper is a non-profit organization based in Pasadena, CA with the mission to drive greenhouse gas emission reductions by making methane and carbon dioxide data accessible and actionable. We leverage remote sensing technology to detect, pinpoint, and quantify methane and carbon dioxide (CO2) emissions at the scale of individual facilities. All of our methane and CO2 data is made publicly available for non-commercial use on our Carbon Mapper Data Portal to provide decision makers with the information they need to prioritize and take mitigation action.

Carbon Mapper also works with stakeholders and decision makers to fill data gaps, lead on cutting edge science, collaborate to drive reductions, and advance education and insights on emissions globally. To do this, we work with partners to leverage a constellation of satellites. Data from these satellites will offer the next major step in scaling up the organization's robust data portal featuring thousands of direct observations of global methane and CO2 super-emitters.

To learn more about Carbon Mapper, please visit us at (Use the "Apply for this Job" box below)..

To view our data, please visit us at .

Carbon Mapper is seeking a Machine Learning Scientist to support the research and development of next-generation machine learning methods for Earth science and remote sensing applications. This role will apply machine learning approaches to remote sensing and Earth science data, develop models to improve existing data processing pipelines, and explore new application areas.

• Develop and adapt algorithms for methane and carbon dioxide retrieval, plume detection, source attribution, and emissions rate quantification
• Process, clean, and analyze large-scale geospatial datasets
• Evaluate model performance across different populations, environments, or subregions to identify performance variation
• Assess model sensitivity and interpretability
• Maintain training datasets used for algorithm development and benchmarking
• Collaborate with research scientists and engineers to release updated model versions

• Bachelor’s degree in environmental science, physical science, mathematics, geoscience, engineering, computer science, or a related field, or equivalent practical experience.
• Experience with machine learning libraries such as PyTorch or Tensor Flow.
• Experience processing and analyzing large-scale geospatial or remote sensing datasets.
• Strong communication skills and ability to collaborate with interdisciplinary teams.
• Ability to manage competing priorities in a collaborative, evolving work environment.

• Master’s or Ph.D. in a related field.
• Experience maintaining production or operational machine learning systems.
• Experience applying object detection or classification methods to satellite or remote sensing datasets.
• Experience conducting exploratory data analysis to improve training datasets and model performance.
• Record of research publications, technical reports, or open-source contributions.
• Familiarity with cloud computing environments such as AWS.
• Interest in climate science, emissions monitoring, or Earth science applications.

Carbon Mapper is headquartered in Pasadena, California, but we embrace the virtual office and are continuing to grow our team across the United States.

The total compensation for this opportunity includes a base salary range of $120,000 – $145,000. This is our target compensation range and is subject to multiple factors including level, experience, and location. As you go through our interview process, our recruiter will work with you to identify a competitive base salary within the proposed range.

As a Carbon Mapper employee, you will have access to a wide range of benefits including affordable health coverage (medical, dental, vision), a generous time-off policy, professional development, and more.

To apply, please visit us at /careers

Carbon Mapper is an equal opportunity employer that believes a diverse team will not just lead to a better working environment, but will also help us create better products and services.

Carbon Mapper is committed to the full inclusion of all qualified individuals. If any reasonable accommodation is needed in our process, please reach out to hr.