Note: The job is a remote job and is open to candidates in USA. Women in Cleantech and Sustainability is presenting an opportunity with Carbon Mapper for a Senior Machine Learning Engineer on the Data Operations team. The role focuses on developing and deploying machine learning models for remote sensing applications, improving data quality and operational efficiency, and mentoring team members while collaborating across technical teams.
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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