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Machine Learning Research Intern Jobs in Tucson, AZ

Rocket Lab

Senior Software Engineer I

Tucson, AZ · On-site

$115K - $152K/yr

Collaborate with researchers on artificial intelligence, machine learning, and computer vision. * Preform rapid prototyping and enhanced development to be integrated into operational systems.

Danaher

Product Manager Internships

Tucson, AZ · On-site

As a Product Management Intern at Danaher, you'll join a collaborative team working across R&D, ... We value diverse backgrounds and experiences and invest in your growth through hands-on learning ...

NSF's NOIRLab

Principal Software Architect

Tucson, AZ · On-site

$155K - $189K/yr

  • Retirement

  • PTO

... research, observatory operations, and scientific data management. In this highly influential ... Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning ...

Rubin Obs

Principal Software Architect

Tucson, AZ · On-site

$155.67 - $189.56/hr

  • Retirement

  • PTO

... research, observatory operations, and scientific data management. In this highly influential ... Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning ...

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All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Tucson, AZ

Machine Learning Research Intern information

See Tucson, AZ salary details

$24.1K

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How much do machine learning research intern jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning research intern in Tucson, AZ is $40,262.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,500.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Tucson, AZ?

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The top searched job categories for Machine Learning Research Intern jobs in Tucson, AZ are:

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Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern 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 $40,262 per year, or $19.4 per hour.

Postdoctoral Research Associate (Electrical and Computer Engineering)

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 4 days ago

University Of Arizona rating

7.3

Company rating: 7.3 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

362nd of 619 rated colleges and universities

Job description

Postdoctoral Research Associate (Electrical and Computer Engineering)
Posting Number
req24681
Department
Elec Comp & Sftwr Engr Sch of
Department Website Link
https://ece.engineering.arizona.edu/
Location
Tucson Campus
Address
Tucson, AZ USA
Position Highlights
The Electrical and Computer Engineering (ECE) Department at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate with background on AI and machine learning for wireless networking and communications.
The successful candidate will work under the direction of Dr. Marwan Krunz, Director of the Wireless Communications and Networking (WICON) Lab, at the University of Arizona. The laboratory is actively involved in various projects related to wireless communications, networking, and security, with particular emphasis on resource allocation strategies, distributed protocol design, and security. The incumbent will contribute to various projects on NextGen/5G systems.
The laboratory has been involved in projects related to 5G cellular systems, mmWave protocols (beamforming, initial access, phased antenna arrays, wireless backhauling, etc.), cognitive/agile radios, dynamic and shared spectrum access, harmonious coexistence of heterogeneous wireless systems, full-duplex transmissions, ultra-low-latency mobile edge computing (MEC), network slicing, physical-layer wireless security, satellite communications, MIMO systems, energy management in wireless sensor networks, and streaming over wireless links.
We invite qualified candidates to join our group and participate in cutting-edge research related to these topics.
This position is eligible for J-1 visa sponsorship.
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
  • Conduct research on generative AI /ML, including application of generative adversarial and diffusion models for synthesis of 5G/6G coverage maps, channel characterization, medical imaging, and RF signal synthesis.
  • Study new reinforcement learning and DQN designs for beam tracking and management in mobile systems.
  • Investigate spectrum sharing over unlicensed and licensed bands.
  • Study the coexistence between active and passive systems.
  • Interact with industry partners, participate in and support various projects within the WISPER center.
  • Attend WISPER meetings.
  • Foster collaborations within the Department, with other units across the University, and with team members at other institutes.
  • Present research at national and international conferences.
  • Prepare manuscripts for publication in peer-reviewed journals.
  • Participate in grant writing, including generating preliminary data, submitting grant applications, and preparing progress reports.
  • Team up with other members of the WICON group to write joint papers for presentation at top-tier conferences and publication in high-quality archived journals.
  • Assist Dr. Krunz with mentoring graduate students.
  • Additional duties as assigned.

Knowledge, Skills, and Abilities
  • Expert knowledge of AI and ML techniques, including but not limited to GANs, autoencoders, and diffusion models.
  • Some knowledge of wireless communications systems and Physical-layer security, including RF signal classification and wireless protocols (5G, LTE, and Wi-Fi).
  • Strong analysis skills, research, and technical writing skills.
  • Ability to communicate professionally in a clear, concise manner orally and in writing.

Minimum Qualifications
  • PhD degree in Electrical Engineering, Electrical and Computer Engineering, Computer Science, or a related field of study.
  • Selected applicant must have PhD conferred upon hire.

Preferred Qualifications
  • Experience with wireless simulation tools (e.g., LabView, Matlab Toolboxes).
  • Experience with RF experimentations (e.g., USRP radios).
  • Experience with 5G cellular systems, LTE, and Wi-Fi protocols.
  • Experience with proposal writing and grant reporting.

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 Postdoc Salary Scale, 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
1/26/2026
Expected End Date
Contact Information for Candidates
Dr. Marwan Krunz
krunz@arizona.edu
Open Date
12/5/2025
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics 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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