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Machine Learning Geospatial Jobs in Lexington, MA

Roberts Recruiting

Software Engineer/Data Scientist

Boston, MA · On-site

$124K - $149K/yr

... machine learning techniques (neural networks/deep learning, Gaussian processes, etc.), ML software frameworks (TensorFlow, Torch, etc.), statistics, and/or signal processing, ideally in a geospatial ...

Verisk

Senior Software Engineer

Boston, MA · On-site

$125K - $150K/yr

AWS Certification (Machine Learning Specialty, Solutions Architect, or equivalent) * Experience with geospatial data, catastrophe modeling, or climate/weather datasets * Full-stack experience with ...

Anduril Industries

GNC Software Engineer

Waltham, MA · On-site

... geospatial and environmental data within distributed C2 architectures. • Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned ...

STR

Senior Data Scientist (CLEARANCE REQUIRED)

Woburn, MA · On-site

$139K - $165K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... Have expertise working with geospatial and/or spatio-temporal data Pay Information Full-Time Salary ...

Cyvl, Inc

Head of AI

Boston, MA · On-site

$300K - $425K/yr

This data is processed through our AI-powered cloud pipelines to generate actionable geospatial ... You want to build the AI function that teaches machines to understand physical infrastructure at a ...

Anduril Industries

GNC Senior Software Engineer

Waltham, MA · On-site

$132K - $174K/yr

... geospatial and environmental data within distributed C2 architectures. * Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned ...

Anduril Industries

GNC Software Engineer

Waltham, MA · On-site

... geospatial and environmental data within distributed C2 architectures. * Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned ...

STR

Senior Data Scientist (CLEARANCE REQUIRED)

Boston, MA

$139K - $165K/yr

... machine learning, statistics, estimation theory, and information theory algorithms for signals ... Have expertise working with geospatial and/or spatio-temporal data Pay Information Full-Time Salary ...

Anduril Industries

GNC Software Engineer

Waltham, MA · On-site

... geospatial and environmental data within distributed C2 architectures. * Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned ...

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How much do machine learning geospatial jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for machine learning geospatial in Lexington, MA is $32.75, according to ZipRecruiter salary data. Most workers in this role earn between $25.38 and $38.08 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 specialist, and why are they important?

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 Lexington, MA look for? The top searched job categories for Machine Learning Geospatial jobs in Lexington, MA are:
Machine Learning Geospatial jobs near you
Infographic showing various Machine Learning Geospatial job openings in Lexington, MA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,117 per year, or $32.7 per hour.
Software Engineer/Data Scientist

Software Engineer/Data Scientist

Roberts Recruiting

Boston, MA • On-site

$124K - $149K/yr

Other

Posted 23 days ago

Job description

The New Technologies teaml is a small unit of creative engineers and scientists who work on the mission of passive sensing: extracting weather-related information from anything. We especially like the "a-ha" look on people's faces when they say"Wait a minute! That's a really cool way to figure out if it's raining or not!"
If you are ahands-on problem solver, adata geek, andlove to test, build, and see results, we want you on our team.
As a New Technologies Software Engineer/Data Scientist, you will run and own data verticals, execute proof-of-concept experiments, and prepare the sources for deployment into our product. You will use yourvery strong coding skillsto gain a deep understanding of the product and build the data acquisition and analysis methodology. You willdevelop ways to leverage public and proprietary datato predict weather conditions usingstatistical methods, signal processing, and machine learning; you will find innovative ways to leverage data for weather prediction; and you will take your ideas from experimentation/prototype to production.
We have:
  • A top-notch web application and API using many, many different data sources.
  • We move fast. Very fast. Like a cheetah. Or faster. What's the fastest animal? A peregrine falcon. We move like a peregrine falcon.
  • An idea meritocracy - an open mind to any idea, from anyone, on any level, in any part of the organization.
  • A team of do-ers and go-getters with a "can- do" attitude.
You have:
  • Strong facility with some combination of: machine learning techniques (neural networks/deep learning, Gaussian processes, etc.), ML software frameworks (TensorFlow, Torch, etc.), statistics, and/or signal processing, ideally in a geospatial environment.
  • 3+ years prior industry experience as a data scientist or software engineer. You think in a modular way that creates clear interfaces between your building blocks.
  • Python expertise and familiarity leveraging the Python stack (pandas, scikit-learn, xarray, dask, numba, etc.) to build analysis tools and data processing pipelines.
  • Excellent verbal and written communication skills.
You might also have:
  • Experience with recognition and classification algorithms for video, audio, and images.
  • Experience in developing large-scale, customer-facing web applications and APIs using cloud services.
  • Knowledge of distributed data systems (Hadoop, Spark, MapReduce).
  • Familiarity with computing on the cloud.
  • An advanced degree in EE/CS, physics, applied math, or a similar technical field.

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