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Machine Learning Geospatial Jobs in Los Angeles, CA

Motorola

Senior DevOps Engineer (US REMOTE)

Culver City, CA · Remote

$140K - $170K/yr

The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

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All JobsMachine Learning Geospatial JobsMachine Learning Geospatial Jobs in Los Angeles, CA

Machine Learning Geospatial information

See Los Angeles, CA salary details

$20

$31

$50

How much do machine learning geospatial jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for machine learning geospatial in Los Angeles, CA is $31.41, according to ZipRecruiter salary data. Most workers in this role earn between $24.33 and $36.54 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 are popular job titles related to Machine Learning Geospatial jobs in Los Angeles, CA? For Machine Learning Geospatial jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in Los Angeles, CA look for? The top searched job categories for Machine Learning Geospatial jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Machine Learning Geospatial jobs? Cities near Los Angeles, CA with the most Machine Learning Geospatial job openings:
Machine Learning Geospatial jobs near you
Infographic showing various Machine Learning Geospatial job openings in Los Angeles, CA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $65,326 per year, or $31.4 per hour.

Senior Software Engineer

Michael Baker International, Inc.

Santa Ana, CA • On-site

$130K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 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

53rd of 441 rated engineering

Job description


  • Candidates will be required to complete identity verification and one face to face interview at one of our offices nationwide. https://mbakerintl.com/locations/
  • This position operates on a remote work schedule in the United States.
  • No sponsorship is provided for this role; all candidates must be eligible to work for any employer in the United States without restrictions indefinitely.

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 Senior 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.
What You'll Do
  • Design and develop cloud-native, AI-integrated microservices and full-stack applications
  • Integrate AI/ML capabilities into geospatial applications using enterprise AI platforms and LLM APIs
  • Contribute to autonomous features for data quality validation, spatial analysis, and workflow automation
  • Build serverless services and RESTful APIs for geospatial data
  • Apply security guardrails, multi-tenant isolation, and compliance measures to AI-powered features
  • Adopt AI-assisted software development practices, including AI-augmented code review and intelligent DevOps
  • Integrate enterprise GIS platforms and spatial data processing capabilities
  • Contribute to CI/CD pipelines using infrastructure-as-code principles
  • Participate in code reviews and help establish engineering best practices

What You Need to Succeed
Required
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent professional experience)
  • 3+ years of full-stack web application development experience
  • Proficiency in modern frontend frameworks (React, Angular, or Vue) and TypeScript/JavaScript
  • Backend development experience in Node.js, Python, or a comparable language
  • Hands-on experience with at least one cloud platform (AWS, Azure, or GCP)
  • Experience designing and consuming RESTful APIs
  • Working knowledge of microservices and serverless concepts
  • Familiarity with relational databases and SQL
  • Comfort with version control, collaborative development, and agile methodologies

Preferred
  • Exposure to enterprise GIS technologies (Esri ArcGIS, MapLibre, Mapbox, PostGIS) or other spatial data
  • Experience building AI-powered features, agentic workflows, or LLM integrations
  • Familiarity with prompt engineering and AI development frameworks
  • Cloud certifications (Solutions Architect, Developer, or DevOps)
  • Experience with containerization (Docker) and orchestration
  • Understanding of indoor mapping standards or public safety GIS workflows
  • Awareness of SOC 2 and/or FedRAMP compliance requirements
  • Experience with test automation and test-driven development
  • Experience with AI-assisted development tools (Claude Code, Copilot, Cursor, or similar)

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

#LI-JH1
#LI-REMOTE
About Us
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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