Scientific Computing / Research Engineering Expert - Earth Sciences
Core
Develop realistic, terminal-based scientific computing tasks for AI benchmarking and evaluation in Earth Sciences.
Role type
Senior IC Scientific Computing / Research Engineering Expert (Earth Sciences)
Builds
Terminal-based benchmark tasks, datasets, reference solutions, and automated tests for AI evaluation
Domain
Earth Sciences (Climate, Atmospheric, Geophysics, Oceanography, Geology, Hydrology, Remote Sensing) + Scientific Computing
Deliverable
production ML models
Required skills
PhD in Earth Sciences, Python, C/C++, MATLAB/Octave, Julia, Linux terminal environments, scientific data processing, numerical modeling, geospatial analysis, time-series analysis, computational workflow development, scientific quality control
Preferred skills
NumPy, pandas, SciPy, xarray, rasterio, GeoPandas, Cartopy, GDAL, NetCDF, HDF5, GeoTIFF, shapefiles, GRIB, Docker, Conda, Git, CI/CD, HPC, research software engineering, AI coding agents
Technologies
Python, C/C++, MATLAB/Octave, Julia, Linux, Bash, NumPy, pandas, SciPy, xarray, rasterio, GeoPandas, Cartopy, GDAL, NetCDF, HDF5, GeoTIFF, shapefiles, GRIB, Docker, Conda, Git
Responsibilities
Convert Earth-science research workflows into terminal-based benchmark tasks; Prepare and process environmental datasets; Build reproducible computational environments; Create expert reference solutions; Develop tasks involving geospatial analysis and numerical simulation; Define objective evaluation criteria; Verify coordinate reference systems and numerical consistency; Develop automated tests for numerical tolerances and reproducibility; Diagnose issues with geospatial projections and large datasets; Document data provenance and validation procedures
Seniority
Senior, hands-on IC