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Gis Machine Learning Jobs (NOW HIRING)

BlackSky

Staff SW Engineer, Machine Learning

Staff SW Engineer, Machine Learning About Us: BlackSky is a real-time intelligence company. We own ... The job requires the ability to understand a variety of challenging ML tasks in the GIS computer ...

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $224K/yr

Develop machine learning models for geospatial inference of key ecosystem metrics, leveraging ... Experience with GIS tools and remote sensing technologies for geospatial analysis. * Prolific ...

OXMAN

Machine Learning Research Engineer

Manhattan, NY · On-site +1

Develop machine learning models for geospatial inference of key ecosystem metrics, leveraging ... Experience with GIS tools and remote sensing technologies for geospatial analysis. * Prolific ...

Mclaurin Aerospace

GIS Developer

Houston, TX · On-site +1

Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support ... Machine learning, deep learning, neural networks * Mission science integration and operations

Mclaurin Aerospace

GIS Developer

Houston, TX · On-site

Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support ... Machine learning, deep learning, neural networks * Mission science integration and operations

VSolvit

DATA SCIENTIST II (MACHINE LEARNING)

Norco, CA · On-site

$115K - $130K/yr

Data Scientist II (Machine Learning) On Site: Norco, CA Job Summary We are seeking a talented and ... GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom ...

Waymo

Machine Learning Engineer - Mapping

Mountain View, CA · On-site +1

$204K - $259K/yr

Design, train, and deploy machine learning models to automate the creation of Waymo's HD maps ... Direct experience with mapping or GIS is a bonus but not required. The expected base salary range ...

Citian

GIS Specialist

Washington, DC

... Machine Learning to build smarter, more advanced tools for our diverse client base. We work with ... As a Geographic Information Systems (GIS) Engineer at Citian, you will play a key role in applying ...

Esri

GIS Solution Engineer - AEC

Denver, CO · On-site

The GIS Solution Engineer - AEC role involves leveraging GIS tools to solve complex business ... machine learning concepts • Programming and scripting experience with languages such as Python ...

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All JobsGis Machine Learning Jobs

Gis Machine Learning information

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$14

$28

$48

How much do gis machine learning jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for gis machine learning in the United States is $28.52, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.65 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a GIS Machine Learning Specialist, and why are they important?

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What are some common challenges faced when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

What are GIS Machine Learning jobs?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

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

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

More about Gis Machine Learning jobs
What cities are hiring for Gis Machine Learning jobs? Cities with the most Gis Machine Learning job openings:
What states have the most Gis Machine Learning jobs? States with the most job openings for Gis Machine Learning jobs include:
What job categories do people searching Gis Machine Learning jobs look for? The top searched job categories for Gis Machine Learning jobs are:
Gis Machine Learning jobs near you
Infographic showing various Gis Machine Learning job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $59,329 per year, or $28.5 per hour.
Machine Learning Engineer, Maps & Navigation, Robotaxi

Machine Learning Engineer, Maps & Navigation, Robotaxi

Tesla

Palo Alto, CA • On-site

Full-time

Posted 20 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is a leading electric vehicle manufacturer, and they are seeking a Machine Learning Engineer to join their Vehicle Controls and Navigation Algorithms team. The role involves developing accurate maps for Tesla's navigation engine, improving map quality through algorithmic approaches, and positively impacting the customer experience for current and future autonomous Robotaxi fleets.
Responsibilities:
• Leverage Tesla’s unique data sources and your skills to measure map quality and surfaces issues across elements like lane graphs, connectivity, attributes, points of interest, etc.
• Automate these workflows, improve their precision, and identify other process gaps, ultimately speeding up pace of map improvements
• Design, prototype, and deploy state-of-the-art machine learning and data-driven algorithms to efficiently up-level our map building process
• Use your insights to help prioritize improvements across the map building stack
• Overall, own and champion map quality – a critical part of our Robotaxi and Full Self Driving experience
Qualifications:
Required:
• Strong fundamentals of geo-spatial and topological analytics
• Understanding of approaches to measure, improve, and validate map and lane graph quality
• Comfort working with large production scale datasets
• Strong proficiency in either Python, Go, C++ and libraries for geo-spatial, and graph analysis
• Ability to collaborate cross-functionally with software developers to execute on open-ended projects in small, fast-moving teams
• Ability to clearly communicate actionable analytics and insights to cross functional teams
• Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent in experience and evidence of exceptional ability
Preferred:
• Experience with GIS and map building/map quality problems at scale
• Experience with using ML approaches to map problems
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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Hours and flexibility

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