Senior Geospatial ML Engineer - Remote Climate Tech

Triwill Group; Spain (TX); On-site; USD 81,000 - 127,000; Full time

Benefits offered by this job

Fully remote

Impactful climate projects

Influence technical direction

International team

Cutting-edge ML/Geo tech

Professional growth

Job summary

Jobgether, partnering with a Spain-based team, seeks a Senior Geospatial Machine Learning Engineer to develop AI solutions that transform satellite and environmental data into actionable insights.

You will own projects from experimentation through production, collaborating with data engineering, product, platform, and delivery teams to deliver geospatial intelligence solutions for climate and infrastructure challenges.

Qualifications

• 8–10+ years of experience in machine learning engineering, geospatial engineering, remote sensing, or a closely related technical field.
• Strong Python programming skills with hands-on experience using geospatial libraries such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas.
• Experience with scientific Python tools including NumPy, SciPy, scikit-learn, and Pandas.
• Practical experience developing deep learning solutions using frameworks such as PyTorch and/or TensorFlow.
• Strong understanding of satellite imagery, aerial imagery, and geospatial raster/vector data processing.
• Experience with workflow orchestration tools such as Dagster or similar platforms.
• Ability to independently lead initiatives, manage technical projects, and communicate results effectively.
• Passion for climate technology and using machine learning to address complex environmental problems.

Responsibilities

• Develop new geospatial intelligence products using Python‑based geospatial libraries, machine learning, and deep learning techniques.
• Improve existing solutions through data exploration, model optimization, debugging, and performance enhancements.
• Work with satellite and aerial imagery, raster and vector datasets, and geospatial workflows to solve real‑world challenges.
• Lead technical projects from planning and experimentation through implementation, delivery, and stakeholder communication.
• Build tools and processes to evaluate model performance, product impact, and data‑driven prioritization.
• Collaborate with data engineering, product, platform, and delivery teams throughout the full machine learning product lifecycle.
• Contribute to technical direction, engineering practices, and team culture within a fast‑growing environment.
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.

Skills

Python

Geospatial libraries

NumPy SciPy scikit-learn Pandas

Deep learning frameworks

Dagster

Project leadership

Communication

Climate technology passion

Tools

GDAL

Rasterio

Shapely

Fiona

GeoPandas

PyTorch

TensorFlow

Job description

Jobgether, partnering with a Spain-based team, seeks a Senior Geospatial Machine Learning Engineer to develop AI solutions that transform satellite and environmental data into actionable insights.

You will own projects from experimentation through production, collaborating with data engineering, product, platform, and delivery teams to deliver geospatial intelligence solutions for climate and infrastructure challenges.