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Machine Learning Intern Jobs in Rio Rico, AZ (NOW HIRING)

Universal Avionics

AI/ML Engineering Intern

Tucson, AZ · On-site

$14.50 - $18.75/hr

AI/ML Engineering Intern Tucson, AZ (Onsite) | Aerospace & Avionics 9/80 Schedule Available - Every ... Design and develop scalable AI solutions using machine learning models and tools * Build and ...

AURA

Science Intern

Tucson, AZ · On-site

$14.25 - $19/hr

The science intern will carry out cutting-edge research on cold brown dwarfs. The intern will ... fax machines, copiers, and other office machines. * Must possess - 1) ability to read and ...

NOAO

Science Intern

Tucson, AZ · On-site

$14.25 - $19/hr

The science intern will carry out cutting-edge research on cold brown dwarfs. The intern will ... fax machines, copiers, and other office machines. * Must possess - 1) ability to read and ...

NSF's NOIRLab

Science Intern

Tucson, AZ · On-site

$14.25 - $19/hr

The science intern will carry out cutting-edge research on cold brown dwarfs. The intern will ... fax machines, copiers, and other office machines. * Must possess - 1) ability to read and ...

Reece Group

Intern -HVACR

Tucson, AZ · On-site

$14.25 - $19/hr

Which is why for many or us this is our "forever company." THE IMPACT YOU'LL MAKE As an intern, you will be spending the summer learning the core business functions related to the area of your ...

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Rio Rico, AZ

Machine Learning Intern information

See Rio Rico, AZ salary details

$22.6K

$37.8K

$78.2K

How much do machine learning intern jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning intern in Rio Rico, AZ is $37,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,900.00 per year, depending on experience, location, and employer.

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 does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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.

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 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.

More about Machine Learning Intern jobs
What cities near Rio Rico, AZ are hiring for Machine Learning Intern jobs? Cities near Rio Rico, AZ with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Rio Rico, AZ as of June 2026, with employment types broken down into 2% Internship, 10% Full Time, and 88% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $37,820 per year, or $18.2 per hour.
AI/ML Engineering Intern

AI/ML Engineering Intern

Universal Avionics

Tucson, AZ • On-site

$14.50 - $18.75/hr

Full-time

Posted 11 days ago

Job description

AI/ML Engineering Intern
Tucson, AZ (Onsite) | Aerospace & Avionics
9/80 Schedule Available - Every Other Friday Off
AI/ML Engineering Intern - Build AI That Powers the Future of Flight
At Universal Avionics, we've spent decades building the avionics systems trusted by pilots and operators around the world. Our AI Labs team is pushing the boundaries of what's possible in aerospace technology, and we're looking for an AI/ML Engineering Intern who's ready to build real things -- not just observe.
This is not a shadow-and-sit-in role. You'll be an active contributor to the design, development, and testing of scalable AI and machine learning solutions, working alongside engineers who care deeply about getting it right in a safety-critical environment.
You'll Thrive Here When...
  • You want to build AI systems that actually ship, not just run in notebooks
  • You enjoy translating data into models and models into measurable outcomes
  • You're comfortable working through ambiguity and iterating fast
  • You're curious about how AI fits into regulated, high-stakes industries
  • You thrive in a collaborative, cross-functional engineering environment

What You'll Work On
  • Design and develop scalable AI solutions using machine learning models and tools
  • Build and optimize data pipelines, prototypes, and training datasets using cloud platforms (AWS, Azure, or GCP)
  • Conduct research and testing to develop machine learning algorithms and predictive models
  • Execute performance testing to evaluate AI systems handling large datasets and complex algorithms
  • Ensure the reliability and performance of AI systems through active development and iteration
  • Collaborate with cross-functional teams to support project goals and solution implementation

What We're Looking For
  • Currently pursuing or holding a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
  • Exposure to or working experience in AI, machine learning, or software development
  • Proficiency in Python
  • Familiarity with machine learning frameworks such as TensorFlow, Spark, or scikit-learn
  • Experience with big data tools and cloud computing platforms (AWS, Azure, or GCP)
  • Strong analytical and problem-solving skills

Why Engineers Love Working Here
  • Work on technology that supports real aircraft and global flight operations
  • Gain hands-on exposure to AI development within a safety-critical aerospace environment
  • Mentorship from experienced engineers in a specialized, mission-driven team
  • Opportunity to grow your skills in a company with decades of aerospace credibility
  • 9/80 schedule - every other Friday off

Our Quality Mindset & Core Values
Innovation We advance avionics technology through creative engineering and continuous improvement.
Excellence We hold ourselves to high standards in quality, reliability, and execution.
Resilience We solve complex technical challenges in demanding aerospace environments.
"Yes, I Can" Ownership We value engineers who are proactive, collaborative, adaptable, and solutions oriented.
Work Environment
This role is based on-site in Tucson, Arizona. You'll work primarily in an office environment within our AI Labs team, with exposure to the broader engineering organization. ESD precautions and protective eyewear may be required in certain areas.
If you're passionate about AI, machine learning, and building the systems that keep aviation safe, we'd love to connect.
Learn more: Universal Avionics
Universal Avionics' products and technology are subject to U.S. export laws and regulations, including but not limited to ITAR and EAR. As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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