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Machine Learning Intern Jobs in Phoenix, AZ (NOW HIRING)

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 ...

PDF Solutions

Senior/Staff CHAR Engineer

Phoenix, AZ · On-site

$140K - $210K/yr

A bachelor's or master's degree in Electrical Engineer, Machine Learning, Data Science, or a ... OR, Bachelor's in same area with related intern or working experience Education:

Asuep

Micheal Boulden Memorial Intern

Tempe, AZ · On-site

$14.25 - $19.25/hr

Micheal Boulden Memorial Intern The Foundation Initiatives Student Assistant, otherwise known as ... Access to LinkedIn Learning and their 8,000+ courses * Professional skills workshops About ASU ...

Yellowstone Landscape

Intern

Chandler, AZ

$15.25 - $20.50/hr

A rotating schedule and learning objectives are clearly defined before you begin, allowing the Branch Manager, Intern Mentor and you to develop a program that best suits your interests and the needs ...

Yellowstone Landscape

Intern

El Mirage, AZ

$14.25 - $19/hr

A rotating schedule and learning objectives are clearly defined before you begin, allowing the Branch Manager, Intern Mentor and you to develop a program that best suits your interests and the needs ...

The State of Arizona

Intern

Phoenix, AZ

$15.40 - $24.20/hr

Intern Apply now Job No: 540372 Work Type: Internship Location: PHOENIX Categories: Internship, Misc/Other/Not Applicable DEPT OF HEALTH SERVICES The Arizona Department of Health Services promotes ...

Arizona Department of Administration

Intern

Phoenix, AZ · On-site

$15.40 - $24.20/hr

Intern Job No: 540372 Work Type: Internship Location: PHOENIX Categories: Internship, Misc/Other/Not Applicable DEPT OF HEALTH SERVICES The Arizona Department of Health Services promotes and protects ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Phoenix, AZ

Machine Learning Intern information

See Phoenix, AZ salary details

$25.3K

$42.3K

$87.4K

How much do machine learning intern jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning intern in Phoenix, AZ is $42,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 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 are the most commonly searched types of Machine Learning jobs in Phoenix, AZ? The most popular types of Machine Learning jobs in Phoenix, AZ are:
What are popular job titles related to Machine Learning Intern jobs in Phoenix, AZ? For Machine Learning Intern jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Phoenix, AZ look for? The top searched job categories for Machine Learning Intern jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Machine Learning Intern jobs? Cities near Phoenix, AZ with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Phoenix, AZ as of June 2026, with employment types broken down into 3% Internship, 7% Full Time, and 90% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,282 per year, or $20.3 per hour.
Wireless Network Lab Intern

Wireless Network Lab Intern

Viavi Solutions

Chandler, AZ • On-site

$14.75 - $19.75/hr

Full-time

Posted 13 days ago

Job description

Summary:
VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications.
We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.
Duties & Responsibilities:
Responsibilities
  • Design and develop AI/ML models tailored to telecom operational use cases, including diagnostics, protocol analysis, and test automation.
  • Build and manage data pipelines - curate, clean, and structure training datasets from diverse telecom sources.
  • Run training experiments on GPU infrastructure and iterate on model performance.
  • Develop evaluation benchmarks and validate model outputs against domain expert assessments.
  • Collaborate with cross-functional engineers (RF, RAN, security, software) to translate domain expertise into model capabilities.
  • Contribute to a research publication documenting methodology and results.

Pre-Requisites / Skills / Experience Requirements:
Required Qualifications
  • Currently pursuing a Ph.D. (or advanced M.S.) in Electrical Engineering, Computer Science, or a related field.
  • 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 and familiarity with GPU-accelerated workflows.
  • Track record of research output (publications, preprints, or significant thesis work).
  • Ability to work independently on open-ended research problems in a collaborative team environment.

Preferred Qualifications
  • Experience with foundation models, large language models, or domain adaptation techniques.
  • Familiarity with parameter-efficient fine-tuning methods (LoRA, adapters, or similar).
  • Background in wireless communications, signal processing, or telecom systems.
  • Experience with retrieval-augmented generation (RAG) or knowledge-grounded AI systems.
  • Prior industry research internship experience.

If you have what it takes to push boundaries and seize opportunities, apply to join our team today.
VIAVI Solutions is an equal opportunity and affirmative action employer - minorities/females/veterans/persons with disabilities.

Apply