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Gis Machine Learning Jobs in Arizona (NOW HIRING)

Intuitive Machines LLC

Research Software Engineer

Phoenix, AZ · On-site

$203K/yr

Research Software Engineer Phoenix, AZ About Intuitive Machines Intuitive Machines is an innovative ... Strong problem-solving, analytical and learning skills. * Understanding of the Software Development ...

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Gis Machine Learning information

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 Arizona? For Gis Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Arizona look for? The top searched job categories for Gis Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Gis Machine Learning jobs? Cities in Arizona with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you
Research Software Engineer

Research Software Engineer

Intuitive Machines LLC

Phoenix, AZ • On-site

$203K/yr

Full-time

Posted 14 days ago

Job description

Research Software Engineer

Phoenix, AZ


About Intuitive Machines

Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of lunar science and data processing, spacecraft subsystems design, development, and test, on-orbit operations, and safety.

Responsibilities:

  • Develop software in support of operating multiple remote sensing instruments.
  • Develop software to process received remote sensing data for various research and archival purposes.
  • Create and execute software test plans for this software including both unit and functional testing.
  • Interface with published APIs of other software.
  • Collaborate with scientists and engineers to create tools for data visualization, analysis, reduction, and archiving.
  • Build understanding of research activities and goals to better serve the advancement of knowledge within relevant research domains.
  • Create and maintain documentation for software tools and workflows.
  • Participate in code reviews and contribute to best practices for software development.
  • Support the integration and testing of software.

Qualifications: 

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
  • 2+ years of relevant professional experience or equivalent experience.
  • Experience with programming languages such as C++,Ruby, Python, and IDL.
  • Project and time management skills.
  • Knowledge of data structures and algorithms.
  • Strong problem-solving, analytical and learning skills.
  • Understanding of the Software Development Lifecycle (SDLC).
  • Understanding of coding standards and testing ideologies.
  • Proficiency in Linux/Unix and MacOS environments.
  • Proficiency using software version control such as Subversion or Git.
  • Keen interest in and ability to follow and contribute to emerging research in planetary science and related fields.
  • Ability to work both independently and as part of a team.

Desired Qualifications:

  • Experience with relational databases, database management, and SQL.
  • Experience with GIS techniques such as map projection.
  • Experience with mathematical concepts such as frame/point rotation, coordinate transformation, and statistical analysis.
  • Experience with agile development methodologies.
  • Strong technical and research writing skills.
  • Experience with concurrent and parallel programming techniques.
  • Knowledge of planetary science or remote sensing.

US EEO Statement

Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.