Senior Geospatial ML Engineer - Global Satellite Analytics

Planet; Arlington (VA); Hybrid; USD 161,000 - 201,000; Full time

Benefits offered by this job

Health benefits

Equity

Tuition Reimbursement

Home Office Reimbursement

Commuter Benefits

Job summary

Planet seeks a Senior Machine Learning Engineer to lead embeddings-based change detection and CV techniques on satellite data. You’ll work with data scientists and software engineers to push geospatial analytics to continental scales in a hybrid Arlington, VA role.

Ideal candidates have 10+ years in ML, strong Python, PyTorch/TF, and experience deploying models with Docker/Kubernetes in cloud environments. Security clearance is required.

Qualifications

• 10+ years of relevant experience, 6+ years in ML.
• Experience deploying models at scale.
• Strong geospatial and time-series analytics background.

Responsibilities

• Lead ML model development for defense/intelligence.
• Optimize inference at continental/global scales.
• Advance geospatial analytics and CV techniques.
• Collaborate with product and data science teams.
• Integrate ML pipelines with software platforms.

Skills

Machine Learning

Python

PyTorch/TF

Docker/Kubernetes

Geospatial

Time Series

Computer Vision

Data Wrangling

Big Data

Cloud (AWS/GCP)

Education

Graduate degree in STEM

Tools

Docker

Kubernetes

GeoTIFF

GeoJSON

AWS/GCP tooling

Job description

Planet seeks a Senior Machine Learning Engineer to lead embeddings-based change detection and CV techniques on satellite data. You’ll work with data scientists and software engineers to push geospatial analytics to continental scales in a hybrid Arlington, VA role.

Ideal candidates have 10+ years in ML, strong Python, PyTorch/TF, and experience deploying models with Docker/Kubernetes in cloud environments. Security clearance is required.