Remote ML Engineer for Flood Risk & Climate AI

Tally BV; New York (NY); Hybrid; USD 140,000 - 160,000; Full time

Job summary

Floodbase is seeking an experienced Machine Learning Engineer to advance a physics-informed flood model that fuses satellite imagery, rainfall, and ground sensor data. The role emphasizes building robust AI systems from data selection to deployment, with responsibility for validation, monitoring, and reproducibility in production.

You will work with a team of scientists and engineers to push the frontier of flood risk analytics, contributing to emergency response tools and parametric insurance

Qualifications

• Bachelor's in a quantitative field with 4+ years of industry experience, or a graduate degree with 1-2+ years.
• Experience training deep learning models in PyTorch or equivalent, including production deployment.
• Strong Python coding skills and ability to contribute to a shared repo.
• Fundamentals of scientific data analysis and statistics; ability to quantify uncertainty and calibrate models.

Responsibilities

• Develop and maintain observation-driven flood models linking satellite data, weather data, and ground sensors.
• Estimate flood risk and uncertainty for parametric insurance products in collaboration with cross-functional teams.
• Deploy and monitor models in cloud infrastructure, ensure reproducibility and provenance in production.
• Evaluate and integrate advances in GeoAI and geospatial data into the Floodbase product.

Skills

Python

PyTorch

Statistical analysis

Uncertainty quantification

Data validation

Interdisciplinary collaboration

Education

Bachelor's in a quantitative discipline

Graduate degree in a quantitative discipline

Tools

rasterio

GDAL

Shapely

Geopandas

Xarray

Dask

Zarr

Job description

Floodbase is seeking an experienced Machine Learning Engineer to advance a physics-informed flood model that fuses satellite imagery, rainfall, and ground sensor data. The role emphasizes building robust AI systems from data selection to deployment, with responsibility for validation, monitoring, and reproducibility in production.

You will work with a team of scientists and engineers to push the frontier of flood risk analytics, contributing to emergency response tools and parametric insurance