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Machine Learning Geospatial Jobs in College Park, MD

Machine Learning Engineer

Arlington, VA · On-site

$115K - $140K/yr

... machine learning-based solutions to solve challenging problems related to national security. Our ... time series, geospatial, and imagery data, and must operate under challenging constraints not ...

... machine learning-based solutions to solve challenging problems related to national security. Our ... time series, geospatial, and imagery data, and must operate under challenging constraints not ...

Machine Learning Engineer

Arlington, VA · On-site

$115K - $140K/yr

... machine learning-based solutions to solve challenging problems related to national security. Our ... time series, geospatial, and imagery data, and must operate under challenging constraints not ...

Machine Learning Engineer

Arlington, VA · On-site

$115K - $140K/yr

... machine learning-based solutions to solve challenging problems related to national security. Our ... time series, geospatial, and imagery data, and must operate under challenging constraints not ...

... time series, geospatial, and imagery data, and must operate under challenging constraints not ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

... time series, geospatial, and imagery data, and must operate under challenging constraints not ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

... time series, geospatial, and imagery data, and must operate under challenging constraints not ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

... time series, geospatial, and imagery data, and must operate under challenging constraints not ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... evaluate machine learning solutions * Engineer and transform diverse data types to support all ...

Imagery Anst II

Falls Church, VA · On-site

$79K - $134K/yr

Responsibilities for this position include providing imagery and geospatial analysis services in the Machine Learning disciplines to facilitate the creation, review, and verification of training data ...

Showing results 21-40

Machine Learning Geospatial information

See College Park, MD salary details

$18

$28

$46

How much do machine learning geospatial jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for machine learning geospatial in College Park, MD is $28.81, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $33.51 per hour, depending on experience, location, and employer.

What does a Machine Learning Geospatial professional do?

A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.

What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?

Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.

What is the difference between Machine Learning Geospatial vs GIS Analyst?

AspectMachine Learning GeospatialGIS Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial dataBachelor's in Geography, GIS, or related fields; proficiency in GIS software
Work EnvironmentTech companies, data science teams, research institutionsGovernment agencies, urban planning, environmental firms
Industry UsageData-driven geospatial analysis, predictive modeling, AI applicationsMapping, spatial data management, spatial analysis

Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.

What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial professional?

To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.
What job categories do people searching Machine Learning Geospatial jobs in College Park, MD look for? The top searched job categories for Machine Learning Geospatial jobs in College Park, MD are:
Infographic showing various Machine Learning Geospatial job openings in College Park, MD as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $59,930 per year, or $28.8 per hour.

Machine Learning Engineer

STR

Arlington, VA • On-site

$115K - $140K/yr

Full-time

Posted 12 days ago


Job description

About the Team

STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe.

The Role

As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems.

Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will analyze interesting and challenging datasets to develop, implement, and evaluate AI/ML models to discover trends and form valuable intelligence insights. You will help bridge the gap between prototype and product by hardening solutions, building scalable backend services, and creating polished user interfaces with intuitive workflows. You will build software with AI/ML at its core, ranging from classical statistical methods to frontier language models, deployed across a diverse set of platforms including cloud, on-prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with customers to understand mission needs, rapidly prototype capabilities, and iterate based on user feedback.

This position can be based in Woburn, MA; or Arlington, VA. Applicants should expect to primarily work onsite.

What you will do:

  • Investigate and analyze large and interesting data sets to identify and expose hidden patterns and trends
  • Develop and apply novel AI/ML models to automatically derive valuable insights for defense and intelligence analysts
  • Collaborate with diverse teams to develop and deploy cutting-edge capabilities into production systems
  • Support the engineering of robust backend services, scalable APIs, and intuitive user interfaces

Who you are:

  • Active Secret Security Clearance with SCI Eligibility, for which U.S citizenship is needed by the U.S government
  • Hold a B.S. or M.S. in Statistics, Data Science, Applied Mathematics, Computer Science, Electrical Engineering, or other related discipline
  • Experience in applying AI/ML methods to real-world data science problems, especially in settings where data is sparse, noisy, and/or high dimensional
  • Experience deploying AI/ML models and constructing analytics pipelines using modern Python-based frameworks
  • Familiarity with creating data visualizations and user interfaces or dashboards
  • Proficient with Python and the traditional data science and machine learning stack, namely NumPy, Pandas, scikit-learn, PyTorch, and matplotlib
  • Proficient with version control software (Git), JIRA, Confluence, or other common collaboration tools
  • Demonstrated ability to collaborate effectively within cross-functional teams and communicate with customers and end users

Even better:

  • Active Top Secret (TS) Security Clearance 
  • Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization
  • Experience working with large datasets (> 100 GB) and familiarity with big data infrastructure and frameworks such as AWS, Hadoop, Spark, Dask, or MapReduce
  • Possession of an advanced degree in a scientific field and 2+ years of relevant experience after Bachelor's degree (work or post-graduate)
  • Experience in intelligence and military-related mission areas 

Pay Information
Full-Time Salary Range: $115,000 - $140,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.