1

Machine Learning Geospatial Jobs in Los Angeles, CA

next page

Showing results 1-20

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:
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.

Machine Learning Engineer

Voyager Technologies, Inc.

El Segundo, CA • On-site

Other

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we're building technologies that protect lives, expand frontiers and prepare us for what's next. And we're doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart. 

You'll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We're a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person,forge the future with Voyager. 

____________________________________________________________________________________ 

Job Summary: 

The Company is currently seeking a Machine Learning Engineer who can develop cutting-edge Deep Learning technologies applied to pressing problems in the domain of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation. You will have considerable responsibility, and your role will have a direct impact on relevant issues facing the United States government customers.

Responsibilities: 

Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures as well as other relevant Machine Learning models 
Apply deep learning algorithms to train neural networks for object detection and classification Develop domain-aware pre-processing algorithms, and other methods to increase model generalization 
Apply signal pre-processing techniques on SAR data 
Create physics simulations of various phenomenologies and develop methods to account for bias between simulated and real-world data 
Develop appropriate objective functions and sound performance assessment plans 
Present work at meetings and conferences 
Develop and deliver production-quality code (mainly Python)

Required Qualifications: 

Must be able to obtain and maintain a US government clearance. 
5-15 years applicable experience 
Bachelor's degree in engineering or related field

Preferred Qualifications: 

  • Master's degree
  • Strong background in Machine Learning (preferably Deep Neural Networks)
  • Need to be flexible in a small business environment
  • Familiarity with radar sensing phenomenology
  • Open Source frameworks is a huge plus
  • Ability to program in multiple languages (Python, Matlab, C/C++).

Please click "Apply" to submit your application. 

The salary range represents the base salary range for this position. Actual compensation will vary and may be above or below the range based on various factors. Those include but are not limited to location, experience, and performance.

Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.  

  • Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance
  • Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees
  • Flexible, affordable gym memberships with 12,700+ options nationwide, including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness, and more! No long-term contracts and FREE on-demand workout videos before you enroll
  • 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security
  • Company wellness programs that support physical and mental well-being
  • Additional voluntary benefits and employee support resources
  • The opportunity to work alongside a highly talented team in an innovative, mission-driven environment

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law. 

To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120-130) and the Export Administration Regulations (EAR) (15 CFR Parts 730-774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce. 

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.