Note: The job is a remote job and is open to candidates in USA. Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring. They are seeking a Remote Sensing Data Scientist to contribute to the development of imaging products and lead product design for their space-based environmental monitoring program.
Responsibilities
- Develop imaging products for end-users from Muon's infrared imaging missions, spanning both the FireSat Initial Operating Capability (IOC) and the Space-Based Environmental Monitoring (SBEM) program
- Research, design, and implement scalable algorithms for image mosaicking, orthorectification, and radiometric normalization of multispectral infrared imagery
- Product owner for critical customer-facing imagery products in the SBEM and FireSat programs
- Author and maintain technical and customer-facing design documents for imagery products, ensuring alignment between internal capabilities and external stakeholder requirements
- Engage with customer technical stakeholders including Technical Interchange Meetings (TIMs), customer questions, and program meetings
- Write production-ready code that integrates into customer-facing data product pipelines and operational services
- Ensure the scientific quality, quantitative validation, and integrity of Orthomosaic Tile products across both wildfire and SBEM missions
- Work cross-functionally with software engineers, calibration scientists, and instrument engineers to design, build, and maintain operational data product services
- Learn new topics as needed (e.g., sensor geometry and characterization, georeferencing techniques, wildfire and environmental monitoring applications, cloud-native geospatial data engineering)
Skills
- PhD with 3+ years of industry experience; or MS with 6+ years industry experience; or BS +8 years industry experience
- 5+ years of experience building geospatial data products from remote sensing data
- Hands-on experience with image mosaicking, orthorectification, or related geospatial image processing techniques
- Experience working with real-world data from new or novel imaging instruments
- Familiarity with common geospatial data formats and tools (e.g., Cloud Optimized GeoTIFF, XArray, GDAL)
- Exceptional skills in Python-based development and analysis
- Ability to author and clearly communicate technical design documents and product specifications
- Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
- Ability to thrive in a fast-paced startup environment
- Experience processing multispectral or infrared satellite imagery
- Domain expertise in meteorology, weather, environmental remote sensing, or related Earth observation applications
- Domain expertise in wildfire monitoring
- Experience supporting satellite mission product development, commissioning, or early operations
- Track record of delivering operational geospatial data products to external customers
- Experience as a product owner or technical lead for a data product
- Familiarity with cloud-native geospatial systems and pipelines (AWS preferred)
- Experience working with large datasets
Benefits
- Equity compensation
- Medical, dental, and vision insurance
- A 401k retirement plan
- Short & long term disability and life insurance
- Three weeks paid vacation for new employees
- 12 paid holidays
- Unlimited sick time
- Paid parental leave
Company Overview