Senior Geospatial Machine Learning Engineer

Yesterday

Apply Now

Receive Emails with Similar Jobs

Overstory

WebsiteLinkedInAll Job Openings

Planet Tech • Satellite Imagery • AI • Deep Learning • Forestry

11 - 50

Description

• Working to solve our climate crisis is the most important mission of our time. • Overstory’s mission is to help solve our climate crisis by providing real-time intelligence about the planet’s vegetation. • We are applying machine learning to satellite imagery to track forests and vegetation. • 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. • 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 able to make significant contributions to the direction and culture of our organization.

Requirements

• 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 the GMT/ CET time zone. Open to US ET for those that are able to have significant overlap with GMT/ CET working hours.

Benefits

• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis. • Flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around. • Other benefits like a remote working budget, an educational budget and time to develop new skills. • To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance and respect. • Equity and a competitive salary.