Rainmaker Technology Corporation
Satellite Applications Specialist
El Segundo, CA
Sponsorship not specifiedDetected 23 hours ago
PythonAlgorithmsMachine LearningPandasNumPyForecastingElectrical EngineeringRF EngineeringSensorsResearchRemote Sensing
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About the role
- Rainmaker is hiring a Satellite Remote Sensing Researcher to expand how we use satellite observations across research and operations.
- You will join experienced satellite scientists and add both scientific capacity and stronger computational execution to the team.
- Our highest-priority observations include microwave sounders and other polar-orbiting instruments, while geostationary imagery provides the coverage and temporal continuity needed for operations.
Responsibilities
- Develop, reproduce, improve, and validate satellite retrieval algorithms relevant to clouds, precipitation, atmospheric state, and cloud-seeding opportunities.
- Build automated, documented workflows that transform raw or low-level observations into useful scientific and operational products.
- Support real-time and retrospective cloud analysis for cloud-seeding operations.
Requirements
- Experience working computationally with satellite data, preferably including microwave or polar-orbiting observations.
- Experience with multidimensional scientific data and tools such as NumPy, SciPy, pandas, xarray, Dask, or equivalent systems.
- Comfort receiving research guidance while independently owning a clearly defined project.
Nice to have
- Experience working with both polar-orbiting and geostationary observations.
- Familiarity with radiative-transfer models, retrieval inversion, Bayesian estimation, uncertainty quantification, or statistical and ML retrieval methods.
- Experience collocating satellite data with radar, aircraft, in-situ sensors, soundings, or NWP.
- Familiarity with cloud microphysics, mixed-phase clouds, supercooled liquid water, precipitation processes, or weather modification.
- Experience with cloud-scale or large-volume geospatial processing in local, HPC, or cloud environments.
- Experience creating data products used in operational forecasting or decision-making.
- What Success Looks Like
- Within your first three months, you will have taken ownership of one bounded retrieval or satellite-data workflow selected with the existing team.
Skills
- Research at Rainmaker is attached directly to operations.
Benefits
- Significant stock options with high potential upside as an early-stage company
- Full health coverage (medical, dental, and vision insurance)
- Paid parental leave for both parents
- Work extensively with microwave sounders and other polar-orbiting observations while incorporating geostationary imagery for coverage, temporal context, and operational monitoring.
- Quantify retrieval bias, uncertainty, spatial representativeness, latency, coverage, and failure modes by meteorological regime.
Company info
- We are open to an earlier-career scientist with excellent fundamentals, high agency, and evidence of strong computational work.
- What We're Looking For
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