Senior Machine Learning Engineer

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 decisionmakers 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 https://carbonmapper.org .

To view our data, please visit us at https://data.carbonmapper.org .

As a Senior Machine Learning Engineer on our Data Operations team, you'll help ensure our core data products meet a reliable baseline of quality, latency, and cost as we scale. You'll use operational metrics to pinpoint bottlenecks and quality gaps, then partner with peer teams to fix them through machine learning, automation, and process improvement. You'll bring deep ML expertise to a domain-heavy problem space (remote sensing, plume detection, and infrastructure mapping) and connect that expertise directly to the operational outcomes our data products depend on.