Senior Machine Learning Engineer
Carbon MapperAbout the role
Senior Machine Learning Engineer | Carbon Mapper | Remote
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.
Essential Duties And 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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Responsibilities
- Design, develop, and deploy deep learning and machine learning models for remote sensing imagery analysis, classification, and segmentation.
- Identify and integrate remote sensing and other spatial datasets to develop and improve models.
- Bring current best practices in remote sensing and machine learning to cross-functional discussions.
- Mentor and provide technical guidance to less experienced team members.
- Lead significant data-quality initiatives end-to-end.
- Design and build automation and tooling that reduce manual effort.
Qualifications
- Requires deep expertise in machine learning and remote sensing to handle domain-heavy spatial datasets.
- Candidates should be able to mentor junior team members and collaborate across cross-functional teams to optimize operational outcomes.
Skills mentioned
About Carbon Mapper
Women in Cleantech and Sustainability (WCS) also has regional LinkedIn group pages (type our full name in the search box at the top to pull up our groups as well). WCS fosters an influential network of professionals to further the roles of women in growing the green economy and making a positive impact on the environment. At many cleantech and sustainability events, finding more than a handful of women can be difficult. WCS brings women together for fun networking and education around the most cutting-edge topics in our industry. We are professional women working in clean technology and sustainability, from the entry level to the executive level. We meet once a month to network and learn the latest developments in the green movement from speakers and panelists. Topics covered include: renewable energy (solar, wind, biofuel, etc), water, smart grid, biomass, carbon reduction, sustainable transportation, energy efficiency, sustainability, green buildings, and many other technologies that aim to make our world a cleaner, more sustainable place.
H-1B sponsorship history
Historical employer filing data was found for Carbon Mapper. The employer record includes 51 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.