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Gis Machine Learning Jobs in Riverside, CA (NOW HIRING)

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

... GIS professionals to power the operations of their organizations. Responsibilities : • Develop Python-based machine learning components that enhance how users assess, understand, and improve ...

... machine learning, computer hardware, and the business of software, to enhance your contributions to ... change with GIS technology. For more information on Esri's Racial Equity and Social Justice ...

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

In this role, you will design and develop the software used by a large community of GIS ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

In this role, you will design and develop the software used by a large community of GIS ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Develop Python-based machine learning components that enhance how users assess, understand, and ... change with GIS technology. For more information on Esri's Racial Equity and Social Justice ...

Write data science and machine learning samples using ArcGIS and open-source ecosystem * Author ... Bachelor's degree, or foreign equivalent degree, in Computer Science, Engineering, GIS, or a ...

New

Product Engineer

Redlands, CA · On-site

$101K - $104K/yr

Write data science and machine learning samples using ArcGIS and open-source ecosystem * Author ... Bachelor's degree, or foreign equivalent degree, in Computer Science, Engineering, GIS, or a ...

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Gis Machine Learning information

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How much do gis machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for gis machine learning in Riverside, CA is $29.76, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $35.10 per hour, depending on experience, location, and employer.

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 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 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 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.

What are popular job titles related to Gis Machine Learning jobs in Riverside, CA? For Gis Machine Learning jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Riverside, CA look for? The top searched job categories for Gis Machine Learning jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Gis Machine Learning jobs? Cities near Riverside, CA with the most Gis Machine Learning job openings:
Sr. Software Development Engineer - Gen AI

Sr. Software Development Engineer - Gen AI

Esri

Redlands, CA • On-site

$123K - $162K/yr

Full-time

Re-posted 24 days ago


Esri rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies


Job description

Job Summary:
Esri’s Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS platform. In this role, you will design and develop the software used by a large community of GIS professionals to power the operations of their organizations.
Responsibilities:
• Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality
• Build software that follows industry-standard design patterns, development methodologies, and deployment models
• Design, develop, test, and integrate AI/ML algorithms as part of product releases and evolve data quality capabilities for customers
• Build scalable ML pipelines and data engineering processes to improve overall system architecture
• Work collaboratively with product engineers, researchers, Professional Services product teams, and domain experts
• Work effectively in an Agile Scrum team environment and iterative development cycles
Qualifications:
Required:
• 5+ years of professional experience in a similar position supporting similar responsibilities with emphasis on Python, Machine learning or AI systems
• Strong understanding of object-oriented principles, software architecture, and API design
• Ability to analyze software/algorithms and identify improvements
• Experience with software development using Python, ML frameworks and RAG systems
• Bachelor's degree in computer science, mathematics, or STEM related field
Preferred:
• Familiarity and knowledge with C++ in large-scale or performance-critical software environments is beneficial
• Experience analyzing large geospatial datasets and working with vector databases
• Knowledge of the ArcGIS platform, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise and enterprise geodatabases
• Experience in developing REST based services and cloud deployment patterns
• Understanding of key AI concepts, model evaluation and agentic workflows
• Experience with Agile development methodologies and CI/CD pipelines
• Master's degree in computer science, mathematics, or STEM related field
Company:
Esri is a software company that devolops geographic information system software, location intelligence, and mapping. Founded in 1969, the company is headquartered in Redlands, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969