Remote Sensing Engineer

Impact Observatory, Inc.; Washington (District of Columbia); Teletrabalho; USD 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

401K/Roth IRA

Paid Holidays

Paid Professional Development Days

Unlimited Flexible PTO Program

Extended Leave Program (Sick, Caretake

Parental)

Fully Remote

Resumo da oferta

Impact Observatory in Washington, DC is seeking a remote sensing scientist-engineer to advance change-detection products from algorithm to production. You will write scalable code, improve accuracy and reliability, and own core algorithms while developing new methods to expand capabilities.

You will join the Product Development team and work in a fast-moving, fully remote startup environment, collaborating with scientists and engineers to deliver global-scale solutions for governments, industry,

Qualificações

• Bachelor’s degree in a relevant technical field and 3+ years of professional experience.
• Strong Python skills and experience 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.

Responsabilidades

• 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.

Conhecimentos

Python programming

Production analytics workflows

Remote sensing physics

Time-series imagery/change detection

Geospatial libraries

Cloud platforms (AWS/Azure)

Git and collaboration

Clear communication

Formação académica

Bachelor’s degree in a relevant technical field

Ferramentas

GDAL

Rasterio

PyProj

GeoPandas

Shapely

Git

Descrição da oferta de emprego

Founded in 2020 and headquartered in Washington, D.C., Impact Observatory develops and uses world-leading geospatial AI to unlock actionable insights from satellite imagery and geospatial data, improving decision-making for resource and risk analysis by governments, industry, and communities, and making a positive impact on our planet.

Purpose

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.

Duties and Responsibilities

• 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.

Required Qualifications

• 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.
• 401K/Roth IRA
• Paid Holidays
• Paid Professional Development Days
• Unlimited Flexible PTO Program
• Extended Leave Program (Sick, Caretaker & Parental)
• Fully Remote

Join the Team

Come join us at Impact Observatory! You’ll have the opportunity to help our users monitor, plan, and act to understand the impact of their actions and improve decision making for agriculture, development, and resource management, from a specific site to global scale.

Impact Observatory is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.