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Machine Learning Geospatial Jobs in California (NOW HIRING)

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

... in geospatial data, working closely with product teams and domain experts. Responsibilities : • Develop Python-based machine learning components that enhance how users assess, understand, and ...

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 ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

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

Caltech

Research Technician-Assistant

Pasadena, CA · On-site

$19 - $30/hr

Trains and evaluates machine learning models. * Downloads and processes large geospatial datasets. * Implements quasi-experimental research designs. * Participates in drafting presentations and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123K - $202K/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 ...

Pytho AI, Inc

AI Engineer

San Francisco, CA · On-site

Solid understanding of machine learning principles (model evaluation, optimization, bias/variance ... Exposure to geospatial, multimodal, or reasoning systems * Experience with containerization and ...

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All JobsMachine Learning Geospatial JobsMachine Learning Geospatial Jobs in California

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 June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Temporary. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Software Engineer, Geospatial Data (Starshield)

Software Engineer, Geospatial Data (Starshield)

SpaceX

Hawthorne, CA • On-site

$145K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

14th of 60 rated aerospace companies

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SOFTWARE ENGINEER, GEOSPATIAL DATA (STARSHIELD)
Starshield leverages SpaceX's Starlink technology and launch capability to support national security efforts. While Starlink is designed for consumer and commercial use, Starshield is designed for government use, with an initial focus on earth observation, communications, and hosted payloads.
The Starshield data team is building highly reliable processing systems for earth observation data captured by Starshield satellites. We're building mission critical models and data processing software in service of constellation efficiency and derived information quality. We're building for national security. Aerospace experience is not required to be successful here-- we want our engineers to bring fresh ideas from all areas. We look for engineers who love solving problems and seek to make an impact on an inspiring mission. As we expand this team, we're looking for versatile, motivated, and collaborative engineers.
Our team is involved in designing the space information systems at every phase of development. We build tools that enable us to work more efficiently, and that help us build software systems that are secure, reliable, and autonomous. Our machine learning engineers are responsible for the life cycle of the software they create, including development, testing, and operational support.
RESPONSIBILITIES:
  • Develop novel geospatial data processing models to extract information from raw and partially processed sensor data
  • Create highly reliable software and machine learning systems that task remote sensor payloads on hundreds of satellites in low earth orbit and process the collected information
  • See your modeling work and software through from start-to-finish: from figuring out the core needs to prototyping, developing, and testing; to production rollout and beyond

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience in software development in lieu of a degree
  • 1+ years of experience in applied machine learning engineering, full stack development, and data science
  • 1+ years of development experience in C, C++, or Python experience

PREFERRED SKILLS AND EXPERIENCE:
  • Experience applying modern computer vision algorithms at scale
  • Experience with software that has been used in real-world applications and projects
  • Experience with AWS or building inside of cloud environments
  • Experience with developing within Linux server environments, SSH, scripting, and configuration
  • Experience with Kubernetes or similar container orchestration frameworks
  • Experience with PostgreSQL or implementing highly performant databases
  • Ability to obtain and maintain a Top Secret or Top Secret SCI clearance

ADDITIONAL REQUIREMENTS:
  • This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs
  • Must be willing to work extended hours and weekends as needed

COMPENSATION AND BENEFITS:
Pay Range:
Software Engineer/Level I: $125,000.00 - $145,000.00/per year
Software Engineer/Level II: $145,000.00 - $175,000.00/per year
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.
ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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