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# Remote Sensing Engineer

- **Company:** Impact
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $125,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Computer Vision, Automation of Tests, Microsoft Azure, Cloud Computing, Collaborative Software, Python (Programming Language), Machine Learning, Software Deployment, Visual Effects, Data Ingestion, Deep Learning, Git, Geospatial Data Abstraction Library (GDAL)
- **Published:** October 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/przbjukrsx

## About the Role

* Bachelor's degree in a relevant technical field and 3+ years of relevant professional experience.
 * Strong Python skills and experience independently building and operating production analytical workflows.
 * Applied understanding of remote-sensing physics and how sensors, acquisition conditions, and atmospheric effects influence results.
 * Experience with imagery time series or change detection, including masking, compositing, and seasonal variability.
 * Familiarity with geospatial libraries such as GDAL, Rasterio, PyProj, GeoPandas, and Shapely.
 * Experience with cloud platforms such as AWS or Azure, Git, and collaborative software development.
 * Clear communication and the ability to work collaboratively in a fast-moving, remote-work startup environment.

Preferred Qualifications (Optional):

 * Deep learning or computer vision for remote sensing, including production deployment.
 * Automated QA/QC and quantitative validation of geospatial products.
 * SAR or InSAR processing.
 * Environmental, conservation, or climate applications, including integration with socioeconomic or other ancillary data.

## Description

In this position you will drive development of Impact Observatory's change detection products from algorithm to operations. You will join the Product Development team, which focuses on iterating quickly toward solving customer problems.

We are looking for a remote sensing scientist-engineer. You should understand the physics of remote sensing and how algorithms exploit those signals, and be able to write scalable code that turns a method into a global pipeline. In this role, you will develop algorithms, implement them in production, and own their operational performance. You will start by improving existing products' accuracy, reliability, and scalability. Over time, you will take ownership of the core algorithms and develop new methods to expand their capabilities., * Develop and improve remote sensing algorithms and ML models for change detection.

 * Build and operate global-scale pipelines, from data ingestion and preparation through inference and delivery.
 * Manage cloud infrastructure, troubleshoot failures, and improve reliability, scalability, and processing efficiency.
 * Validate analytical results and automate product quality checks.
 * Maintain tested code, reproducible workflows, and clear technical documentation.
 * Translate customer needs into product improvements with scientific and engineering colleagues.