ZipRecruiter

Log In

1

Machine Learning Intern Jobs in Arizona (NOW HIRING)

Arizona Department of Administration

$18/hr

IT ANALYST INTERN Job No: 541154 Work Type: Internship, Temporary Location: REMOTE OPTIONS, PHOENIX ... Machine Learning, Data Science, or related technologies. • Data management, data analytics, ETL ...

RPM Living

Intern, Learning and Development

Phoenix, AZ · On-site

$13.75 - $18.25/hr

Position Summary The Learning & Development Intern provides College and University students with hands-on experience supporting enterprise-wide initiatives, such as new hire and role-specific ...

RPM Living

Intern, Learning and Development

Phoenix, AZ · On-site

$13.75 - $18.25/hr

Position Summary The Learning & Development Intern provides College and University students with hands-on experience supporting enterprise-wide initiatives, such as new hire and role-specific ...

Viavi Solutions

Wireless Network Lab Intern

Chandler, AZ

$14.75 - $19.75/hr

Research focus in machine learning, with hands-on experience in deep learning frameworks (PyTorch or TensorFlow). * Experience training and fine-tuning large-scale models. * Strong Python proficiency ...

Viavi Solutions

Wireless Network Lab Intern

Chandler, AZ · On-site

$14.75 - $19.75/hr

Research focus in machine learning, with hands-on experience in deep learning frameworks (PyTorch or TensorFlow). * Experience training and fine-tuning large-scale models. * Strong Python proficiency ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Arizona

Machine Learning Intern information

See Arizona salary details

$23.8K

$39.7K

$82K

How much do machine learning intern jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning intern in Arizona is $39,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Arizona? The most popular types of Machine Learning jobs in Arizona are:
What are popular job titles related to Machine Learning Intern jobs in Arizona? For Machine Learning Intern jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Arizona look for? The top searched job categories for Machine Learning Intern jobs in Arizona are:
What cities in Arizona are hiring for Machine Learning Intern jobs? Cities in Arizona with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Arizona as of May 2026, with employment types broken down into 51% Full Time, 37% Part Time, 4% Temporary, 4% Contract, and 4% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $39,683 per year, or $19.1 per hour.
Data Analytics Intern

Data Analytics Intern

Intuitive Machines LLC

Phoenix, AZ • On-site

Other

Posted 2 days ago

Job description

Data Analytics Intern

Phoenix, Arizona

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 spacecraft subsystems design, development, and test, on-orbit operations, and safety.

Intuitive Machines is seeking an in Intern to join our team in Phoenix, Arizona.

Responsibilities:

  • Assist in the processing and analysis of lunar images to support current lunar research and exploration
  • Develop and maintain scripts and tools for automating data processing tasks.
  • Collaborate with team members to identify and resolve issues in image data.
  • Support the creation and updating of lunar surface mosaics and maps.
  • Participate in the calibration and validation of LROC instruments and data products.
  • Contribute to the preparation of scientific presentations and reports.
  • Participate in public outreach events.

Minimum Requirements:

  • Enrollment as an undergraduate student in the Phoenix metropolitan area
  • Enthusiastic about contributing to lunar, planetary, or space science exploration.
  • Demonstrated ability to identify problems and develop mitigation procedures.
  • Ability to remain detail-oriented while working with large data sets.
  • Ability to work independently and as part of a team.
  • Good organization and documentation skills
  • Enthusiastic about learning new skills sets
  • Basic image analysis and/or statistical analysis experience
  • Bonus points for: programming, geographic information systems (GIS), geography, or geology experience or experience with planetary data sets

EEOC
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.