Note: The job is a remote job and is open to candidates in USA. Carbon Mapper is seeking a Senior Machine Learning Engineer to join its Data Operations team. The role focuses on developing machine learning solutions for remote sensing, plume detection, and infrastructure mapping while improving the quality, latency, cost, consistency, and throughput of core data products through automation and cross-functional collaboration.
Responsibilities
- Design, develop, and deploy deep learning and machine learning models for remote sensing imagery analysis, classification, and segmentation. Applications include plume detection, hyperspectral data processing, and infrastructure mapping
- Identify and integrate remote sensing and other spatial datasets (RGB imagery, basemaps, weather data, GIS inventories) to develop and improve models, using AI-assisted tooling to accelerate data exploration and profiling
- Bring current best practices in remote sensing and machine learning to cross-functional discussions on product design and implementation
- Mentor and provide technical guidance to less experienced team members, fostering skill development in ML, data engineering, and remote sensing across the Data Operations team
- Lead significant data-quality initiatives end-to-end, from problem definition through deployment, collaborating with members of the Data Operations, Science, and Engineering teams
- Design and build automation and tooling that reduce manual effort and improve the consistency and throughput of core data products
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