Senior Geospatial Machine Learning Engineer, Overstory

• At least 8 years of commercial experience as a Data Scientist or Machine Learning Engineer
• Advanced scientific Python experience, including numpy, scipy, scikit-learn, pandas
• Experience with geospatial or satellite data, and tooling such as gdal, rasterio, shapely, fiona, geopandas, QGIS
• Experience with deep learning algorithms, especially as applied to geospatial data, and tooling such as pytorch, tensorflow
• Experience leading small teams organized around projects or initiatives
• Passionate about climate
• Enjoy working in a remote first, fast-moving environment
• You are based in GMT/ CET/ EST time zones

Desirable

• We are looking for a Senior Geospatial MLE to join the Vegetation Modeling team at Overstory
• You’ll spend most of your time working within small groups on our team to experiment with, build, and improve algorithms for understanding how vegetation impacts our customers
• In the past, we’ve developed solutions to coregister imagery, locate critical energy infrastructure, and identify tree species, heights, and health
• Right now, we split our time between maintaining and improving these solutions, and developing new features to understand wildfire risk and assess the impact of different management strategies
• On our team, you’ll generally be working with satellite imagery and other geospatial datasets, and using machine learning or deep learning to analyze their contents
• You’ll be regularly interfacing with our data and models through Python code, QGIS projects, and Dagster pipelines
• You’ll thrive if you enjoy working with a cross-functional group of product, design, engineering, and platform team members, and being involved throughout the full scientific product lifecycle
• As a quickly-growing, early-stage startup, you’ll also be able to make significant contributions to the direction and culture of our organization
• We collaborate closely with upstream teams responsible for ingesting data, and downstream teams that further refine or deliver those outputs to customers
• You’ll be able to help shape how we work within our team and across the organization, influence how we make core decisions about our platform and pipelines, and scope out impactful projects
• Develop new vegetation intelligence products using standard geospatial Python libraries, as well as machine learning and deep learning tools
• Support existing products through data exploration, model improvements, and bugfixes, especially using QGIS, Dagster, Sentry, and Grafana
• Represent the team by leading projects and initiatives, being responsible for planning, execution, delivery, and ensuring the value of our contributions is clear to other stakeholders throughout the organization
• Build the tooling and processes necessary to measure the value and performance of our contributions, and help to make data-driven decisions about where we can have the greatest impact