ZipRecruiter

Log In

1

Arcgis Machine Learning Jobs (NOW HIRING)

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

Work with Subject Matter Experts to design appropriate machine learning model types and ... Hands-on experience in geospatial data analytics using Esri products, with a focus on ArcGIS ...

Oxy

AI Machine Learning Engineer

Houston, TX

Work with Subject Matter Expertsto design appropriate machine learning model types and ... Handson experience in geospatial data analyticsusing Esri products, with a focus on ArcGIS ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

The ideal candidate will leverage advanced analytics, machine learning, and geospatial analysis ... ESRI ArcGIS suite of commercial software components * ArcGIS Runtime * ArcGIS Engine * ArcGIS ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

Responsibilities : • Develop Python-based machine learning components that enhance how users ... the ArcGIS platform, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise and enterprise ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

... the ArcGIS platform. In this role, you will design and develop the software used by a large ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

... the ArcGIS platform. In this role, you will design and develop the software used by a large ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Booz Allen Hamilton

Data Scientist

Charlottesville, VA · On-site

... of IoT, machine learning, and artificial intelligence. The role involves working closely with ... or ArcGIS or FOSS libraries such as seaborn, matplotlib, or ggplot • TS/SCI clearance • ...

next page

Showing results 1-20

People also search for

All JobsArcgis Machine Learning Jobs

Arcgis Machine Learning information

See salary details

$14

$21

$25

How much do arcgis machine learning jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for arcgis machine learning in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

What is the difference between Arcgis Machine Learning vs GIS Analyst?

AspectArcgis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; knowledge of machine learningBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentData science teams, GIS departments, tech-focused projectsUrban planning, environmental management, mapping projects
Industry UsageAdvanced spatial data analysis, predictive modelingMapping, data management, spatial analysis
Common Search/ComparisonYesYes

Arcgis Machine Learning specialists focus on applying machine learning algorithms to spatial data for predictive insights, often working with large datasets and programming. GIS Analysts perform spatial data analysis, mapping, and data management, typically using GIS software. While both roles require GIS knowledge, Arcgis Machine Learning emphasizes data science and programming skills, whereas GIS Analysts focus on spatial analysis and visualization.

What are the key skills and qualifications needed to thrive as an ArcGIS Machine Learning Specialist, and why are they important?

To thrive in ArcGIS Machine Learning, you need expertise in geographic information systems (GIS), spatial analysis, data science, and a background in computer science, statistics, or geography. Familiarity with ArcGIS software, Python programming, and machine learning libraries such as scikit-learn or TensorFlow is typically required, along with certifications like Esri Technical Certification. Strong problem-solving skills, attention to detail, and effective communication enable you to interpret complex spatial data and convey insights to diverse stakeholders. These skills are essential for leveraging geospatial data to generate actionable intelligence and support data-driven decision-making.

What is ArcGIS Machine Learning?

ArcGIS Machine Learning refers to the integration of machine learning techniques with ArcGIS, Esri's geographic information system software. It enables users to analyze spatial data, identify patterns, and make predictions using tools like classification, clustering, and regression within the ArcGIS platform. These capabilities help solve complex geographic problems in fields such as urban planning, environmental science, and resource management. ArcGIS provides both built-in machine learning tools and supports integration with open-source frameworks like scikit-learn and TensorFlow.

How do ArcGIS Machine Learning professionals typically collaborate with GIS analysts and data scientists within a project team?

ArcGIS Machine Learning professionals often work closely with GIS analysts to prepare and preprocess spatial data, ensuring datasets are clean and relevant for modeling. They also partner with data scientists to design, implement, and validate machine learning algorithms tailored to geospatial problems, such as predictive mapping or spatial pattern detection. Regular collaboration occurs through project meetings, code reviews, and joint presentations to stakeholders, fostering a multidisciplinary approach that leverages both spatial expertise and advanced analytics. This teamwork ensures solutions are both scientifically robust and operationally effective.
AI Machine Learning Engineer

AI Machine Learning Engineer

Oxy

Houston, TX • On-site

Full-time

Posted 28 days ago

Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The incumbent will research, build, and design artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes.
Essential Job Responsibilities
  • Work with Subject Matter Experts to design appropriate machine learning model types and architectures for particular applications ranging from subsurface characterization, reservoir engineering, production, and facilities etc
  • Tune algorithm hyper-parameters and perform model training and validation
  • Create workflows to optimize performance for computationally heavy workloads
  • Collaborate with Machine Learning Operation team to deploy machine learning solutions to the cloud

Qualifications
  • Bachelor's degree in computer science, mathematics, physics, engineering or related field required
  • Master's degree is highly preferred. Equivalent combination of advanced education and relevant experience will be considered.
  • A minimum of 5 years of experience and deep knowledge in orchestration methods and tools to optimally use computational infrastructure, and machine learning methods and algorithms
  • Strong Python or R programming skills required
  • Experience developing, architecting, and running ML or deep learning workload in the Cloud.
  • Ability to express the intuition behind basic ML algorithms
  • Experience performing basic hyper parameter optimization
  • Ability to follow model training, deployment, and operational best practices
  • Experience with Docker for containerization and Kubernetes for orchestration
  • Knowledge of Terraform and Ansible for automating infrastructure management
  • Knowledge of YAML for automating model and application code deployment
  • Understanding of data engineering principles and databases (relational, NoSQL)
  • Strong critical thinking and communication skills

Additional Desired Qualifications:
  • AWS certification is highly preferred, with a strong preference for the AWS Certified Machine Learning - Specialty credential.
  • Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte Carlo (MCMC), and causal inference.
  • Hands-on experience in geospatial data analytics using Esri products, with a focus on ArcGIS Enterprise.
  • Experience with LLM-powered applications such as chatbots, question-answering systems, document processing and agentic workflow design.

Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

View All Oxy Jobs

Apply