Senior Geospatial ML Engineer — Remote Climate Tech

United States Digital Space LLC; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior Geospatial Machine Learning Engineer to join a fast-growing climate tech team. You will build vegetation intelligence products using geospatial Python tools and ML, focusing on satellite imagery and utility-scale applications.

Work spans from data exploration to model deployment, with collaboration across product, design, and engineering. The role is fully remote, with teams across Europe and the Americas; visa sponsorship is not provided.

Qualifications

• 8–10+ years of relevant experience in machine learning engineering, geospatial engineering, or a closely related field.
• Strong proficiency in Python, with hands-on experience using geospatial libraries: GDAL, Rasterio, Shapely, Fiona, GeoPandas.
• Experience with scientific Python tools: NumPy, SciPy, scikit-learn, Pandas.
• Practical experience with deep learning frameworks: PyTorch and/or TensorFlow.
• Comfortable working with satellite or aerial imagery and raster/vector geospatial datasets.
• Experience with workflow orchestration tools (e.g. Dagster or similar).
• Ability to lead projects independently and communicate technical work clearly to non-technical stakeholders.
• Passion for climate action and solving complex environmental challenges through technology.

Responsibilities

• Develop new vegetation intelligence products using standard geospatial Python libraries alongside machine learning and deep learning tools.
• Support existing products through data exploration, model improvements, and bug fixes — working regularly with QGIS, Dagster, Sentry, and Grafana.
• Lead projects and initiatives end-to-end: own planning, execution, and delivery, ensuring the value of contributions is clearly communicated to stakeholders across the organisation.
• Build tooling and processes to measure the performance and business value of your team's work, supporting data-driven prioritisation decisions.
• Collaborate closely with upstream data ingestion teams and downstream delivery/refinement teams throughout the full scientific product lifecycle.

Skills

Python

Geospatial ML

Tools

GDAL

Rasterio

Shapely

Fiona

GeoPandas

NumPy

SciPy

scikit-learn

Pandas

PyTorch

TensorFlow

Dagster

Sentry

Grafana

QGIS

Job description

United States Digital Space LLC is seeking a Senior Geospatial Machine Learning Engineer to join a fast-growing climate tech team. You will build vegetation intelligence products using geospatial Python tools and ML, focusing on satellite imagery and utility-scale applications.

Work spans from data exploration to model deployment, with collaboration across product, design, and engineering. The role is fully remote, with teams across Europe and the Americas; visa sponsorship is not provided.