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

Intel

AI Software Engineering Intern

Phoenix, AZ · On-site

... machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware-software integration. May also include the creation of AI ...

CHASSE Building Team

Construction Management Intern

Tempe, AZ · On-site

$14.50 - $19.50/hr

Summer 2027 Construction Management Intern Ready to take what you're learning in the classroom and put it to work on a real construction site? CHASSE Building Team is looking for Construction ...

ARM

Intern Program - Engineering Pathways

Chandler, AZ · Hybrid

$16.50 - $21.50/hr

Our intern program would suit candidates with interest across engineering -- from the hardware ... AI & Machine Learning -- Develop or optimize AI/ML solutions and apply technologies such as LLMs ...

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Showing results 41-60

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

Machine Learning Intern information

See Tempe, AZ salary details

$24.8K

$41.4K

$85.6K

How much do machine learning intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning intern in Tempe, AZ is $41,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,800.00 per year, depending on experience, location, and employer.

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 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.

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Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Tempe, AZ as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $41,441 per year, or $19.9 per hour.

Data Scientist Intern - In Office, Scottsdale, AZ only

Scottsdale, AZ • On-site

Sandhills Global, Inc.
Software Development • 1 - 5K employees
Learn more about Sandhills Global, Inc.external

Full-time, Internship

Re-posted 15 days ago

Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

8th of 19 rated publishing

Job description

Data Scientist Intern - In Office, Scottsdale, AZ only
Scottsdale, Arizona, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.

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