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Artificial Intelligence Machine Learning Jobs in Tucson, AZ

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

The position requires advanced expertise in data science, artificial intelligence, and machine learning to develop, apply, and interpret analytical pipelines that integrate multi-modal clinical ...

U.S. Navy

Linguist

Marana, AZ

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

U.S. Navy

Linguist

Benson, AZ

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

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How much do artificial intelligence machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for artificial intelligence machine learning in Tucson, AZ is $22.65, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $23.99 per hour, depending on experience, location, and employer.

What is an artificial intelligence machine learning?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What does an artificial intelligence machine learning professional do?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in artificial intelligence machine learning?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

Is artificial intelligence machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Continuous learning and staying updated with new developments are important for long-term career growth.

What jobs can I get with artificial intelligence machine learning?

Artificial Intelligence and Machine Learning professionals can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, and AI Software Developer. These roles typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are popular job titles related to Artificial Intelligence Machine Learning jobs in Tucson, AZ?

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What cities near Tucson, AZ are hiring for Artificial Intelligence Machine Learning jobs?

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Artificial Intelligence Machine Learning jobs near you
Infographic showing various Artificial Intelligence Machine Learning job openings in Tucson, AZ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $51,910 per year, or $25 per hour.

Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics

UNIVERSITY OF ARIZONA

Tucson, AZ • On-site

$80 - $100/hr

Other

Medical, Dental, Vision, Life, PTO

Re-posted yesterday

University Of Arizona rating

7.4

Company rating: 7.4 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

339th of 631 rated colleges and universities

Job description

Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics

Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics

Posting Number req26727

Department Biosphere 2

Department Website Link https://biosphere2.org/

Location Tucson Campus

Address Tucson, AZ USA

Position Highlights

The Biosphere 2 Landscape Evolution Observatory (LEO) at the University of Arizona seeks an enthusiastic scientist or engineer to lead development and operation of one of the world\'s most advanced environmental Electrical Resistivity Tomography (ERT) observatories.

LEO consists of three instrumented, 330 m² experimental hillslopes designed to study the coupled evolution of hydrology, weathering, ecosystems, and biogeochemistry. The successful candidate will advance ERT as a central observational platform for monitoring water movement, subsurface structure, weathering, root-zone dynamics, and ecosystem development in real time.

The position offers exceptional opportunities to combine environmental geophysics, hydrology, soil science, ecology, geochemistry, and artificial intelligence through collaboration with researchers at Biosphere 2 and across the University of Arizona.

The successful candidate will help answer questions such as:

  • How does rainfall redistribute through evolving landscapes?
  • How do plant roots alter subsurface hydrology?
  • How do weathering and biological activity modify subsurface electrical properties?
  • Can geophysical observations be assimilated into predictive ecosystem digital twins?
  • Can autonomous AI systems optimize environmental monitoring and experimentation?

Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here .

Duties & Responsibilities

  • Lead operation and maintenance of permanent ERT instrumentation within the Landscape Evolution Observatory.
  • Design and execute new ERT experiments supporting rainfall, vegetation, and ecosystem manipulation studies in collaboration with an interdisciplinary science team.
  • Develop automated data acquisition, calibration, and quality assurance workflows.
  • Develop inversion methods for estimating spatial and temporal changes in soil moisture and subsurface properties.
  • Integrate ERT observations with complementary sensor networks and environmental observations.
  • Collaborate on coupling geophysical observations with mechanistic ecosystem, hydrological, and reactive transport models (e.g., EcoSIM, PFLOTRAN, CATHY) a part of the new DOE funded Genesis project at Biosphere 2.
  • Develop new approaches using machine learning and AI to improve inversion, interpretation, and autonomous monitoring.
  • Publish peer-reviewed research and contribute to external funding proposals.
  • Mentor graduate students, undergraduate researchers, and visiting scientists.

Knowledge, Skills, & Abilities:

  • Strong quantitative and analytical skills.
  • Excellent written and oral communication skills.

Minimum Qualifications

  • Ph.D. (or M.S. for Research Technologist) in Geophysics, Hydrology, Geological Engineering, Environmental Engineering, Earth Science, Physics, or related discipline.
  • Experience with Electrical Resistivity Tomography.
  • Programming experience (Python, MATLAB, Julia, or similar).

Preferred Qualifications

  • Experience with time-lapse electrical resistivity tomography (ERT) inversion techniques.
  • Experience in hydrogeophysics.
  • Experience with soil physics and/or vadose-zone hydrology.
  • Experience designing, deploying, or maintaining environmental sensor networks.
  • Experience with reactive transport modeling and/or hydrologic modeling.
  • Experience applying machine learning or artificial intelligence (AI) methods to environmental, hydrologic, or geophysical research.
  • Experience working collaboratively on interdisciplinary field experiments.

FLSA Exempt

Full Time/Part Time Full Time

Number of Hours Worked per Week 40

Job FTE 1.0

Work Calendar Fiscal

Job Category Research

Benefits Eligible Yes - Full Benefits

Rate of Pay NIH salary guidelines, Depends on Experience`

Compensation Type salary at 1.0 full-time equivalency (FTE)

Type of criminal background check required: Name-based criminal background check (non-security sensitive)

Number of Vacancies 1

Target Hire Date

Expected End Date

Contact Information for Candidates Scott Saleska | saleska@arizona.edu

Open Date 8/6/2026

Open Until Filled Yes

Documents Needed to Apply Curriculum Vitae (CV) and Cover Letter

Special Instructions to Applicant

Notice of Availability of the Annual Security and Fire Safety Report In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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