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Machine Learning Geospatial Jobs in California (NOW HIRING)

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

... geospatial assets. Responsibilities * Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality * Build software that follows ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

... geospatial assets. Responsibilities * Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality * Build software that follows ...

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Machine Learning Geospatial information

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 are popular job titles related to Machine Learning Geospatial jobs in California? For Machine Learning Geospatial jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in California look for? The top searched job categories for Machine Learning Geospatial jobs in California are:
What cities in California are hiring for Machine Learning Geospatial jobs? Cities in California with the most Machine Learning Geospatial job openings:
Machine Learning Geospatial jobs near you
Infographic showing various Machine Learning Geospatial job openings in California as of May 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Staff Software Engineer (Geospatial & AI)

Michael Baker International

Santa Ana, CA • Remote

$130K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Michael Baker International rating

8.9

Company rating: 8.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

30th of 352 rated engineering

Job description

DATAMARK Practice

DATAMARK Technologies is a technology division of Michael Baker International dedicated to building mission-critical geospatial and public safety solutions that operate where reliability is non-negotiable. The division designs and delivers cloud-native geospatial platforms that integrate advanced AI and machine learning capabilities into spatial data workflows - powering applications that sit inside live public safety call flows and enterprise operating environments where accuracy and uptime directly impact outcomes.

DATAMARK Technologies serves public safety agencies and enterprise clients across the United States, providing intelligent geospatial solutions built on modern, autonomous, and scalable architectures. The team combines deep domain expertise in spatial data engineering with a forward-leaning approach to AI-driven automation, enabling clients to move faster, operate smarter, and make better decisions from their geospatial data. DATAMARK Technologies represents Michael Baker International's commitment to technology innovation at the intersection of geography, intelligence, and public safety.

What We're Looking For

Michael Baker International is seeking a Staff Software Engineer Geospatial & AI to join the DATAMARK Technologies team in a fully remote capacity, supporting clients and operations across the United States. In this senior individual contributor role, you will lead the design and development of cloud-native geospatial applications with deeply integrated AI capabilities, drive autonomous workflow engineering, and shape the AI-assisted development practices that define how the team builds and ships software. You will bring technical depth across full-stack development, geospatial platforms, and enterprise AI tooling - and you will apply that expertise to build systems that perform inside mission-critical public safety and enterprise environments.

This is a remote work schedule with no assigned office location. No sponsorship is provided for this role; all candidates must be eligible to work for any employer in the United States without restrictions indefinitely.

What You'll Do

  • Deliver scalable, AI-native microservices and full-stack geospatial applications that meet performance, reliability, and security standards for mission-critical deployment environments.
  • Lead the integration of AI and machine learning capabilities into geospatial applications using enterprise AI platforms, ensuring production-grade quality and measurable operational impact.
  • Develop autonomous AI systems for spatial data quality validation, geospatial analysis, and automated workflows that reduce manual intervention and increase data fidelity.
  • Drive the AI-assisted developer operations practice forward by owning agent frameworks, intelligent DevOps tooling, and automated code review pipelines that accelerate team velocity.
  • Architect serverless solutions and RESTful APIs for geospatial data services, ensuring scalability, maintainability, and alignment with modern API design standards.
  • Implement and optimize CI/CD pipelines using infrastructure-as-code principles, achieving consistent, repeatable, and auditable delivery across environments.
  • Execute integrations with enterprise GIS platforms and spatial data processing systems, ensuring data flows are accurate, performant, and interoperable across the technology stack.
  • Strengthen the team's engineering capability through active mentorship, rigorous code reviews, and the establishment of best practices that raise collective technical standards.
  • Ensure security guardrails, multi-tenant isolation, and compliance controls are embedded into AI-powered features from design through deployment.
  • Maintain accountability for the overall health, quality, and evolution of geospatial and AI engineering deliverables across the products you own.

What You Need to Succeed

Required

  • Bachelor's Degree in Computer Science, Engineering, or a related field
  • 5+ years of full-stack web application development experience
  • Proficiency in TypeScript and modern frontend and backend frameworks
  • Hands-on experience with geospatial technologies, including Esri, MapLibre, Mapbox, or equivalent platforms
  • Experience with AWS cloud platform and serverless architectures
  • Solid understanding of microservices architecture and RESTful API design patterns
  • Experience with relational and spatial databases; PostgreSQL and PostGIS preferred
  • Proficiency with version control systems and agile development methodologies

Preferred

  • Experience building AI-powered features, agentic workflows, or LLM integrations at production scale
  • AWS Developer Associate or AWS Cloud Practitioner certification
  • Familiarity with indoor mapping standards or public safety GIS workflows
  • Knowledge of CI/CD automation and infrastructure-as-code practices

Compensation

The approximate compensation range for this position is $130,000 to $149,600. This compensation range is a good faith estimate for the position at the time of posting. Actual compensation is dependent upon factors such as education, qualifications, experience, skillset, and physical work location.

Why Choose Us

  • Medical, dental, vision insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Flexible Spending Account (FSA)
  • Life, AD&D, short-term, and long-term disability
  • Professional and personal development
  • Generous paid time off
  • Commuter and wellness benefits
Michael Baker International, a leading provider of engineering and consulting services, including design, planning, architectural, environmental, construction and program management, has been solving some of the world's most complex infrastructure challenges for more than 85 years with a legacy of expertise, experience, innovation and integrity.
Based in Pittsburgh and with over 100 offices nationwide, we partner with clients on everything from roads, bridges, tunnels, mass transit, and airports, to water treatment plants, arctic oil pipelines, environmental restoration and specialized overseas construction. We serve as a trusted adviser to the communities we serve, making them safer, more accessible, more sustainable and more prosperous.
We provide visionary leadership in facilitating transformational change for our clients. Our work delivers differentiating innovations and dedicated experts who challenge the status quo and share a world of diverse experience and an impassioned entrepreneurial spirit. We deliver quality of life.
We Make a Difference.

Michael Baker International is proud to be an Equal Opportunity Employer. Michael Baker International provides equal employment opportunity for all persons, in all facets of employment. Michael Baker International maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks. We encourage all qualified applicants to apply for any open position for which they feel they are qualified and all will receive consideration for employment without regard to race, color, religion, creed, age, gender, sexual orientation, gender identity, national origin, citizenship status, marital status, familial status, pregnancy or childbirth, genetic information, disability, protected veteran status, status with regard to public assistance, or membership or activity in a local human rights commission, or any other legally protected status.
EEO is the Law. Applicants to and employees of Michael Baker International are protected under Federal law from discrimination.

*It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
*There is no current application deadline. Michael Baker will continue to accept applications on an ongoing basis until the position is filled or no longer needed.

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