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Machine Learning Intern Jobs in Indiana (NOW HIRING)

Zentis North America

R&D Intern

Plymouth, IN · On-site

$13.50 - $18.25/hr

R&D Intern Zentis is Europe's number one fruit processing company and one of the leading brand manufacturers of jams, sweets, and custard-based desserts. The Company's North America operations are ...

Beacon Health System

Student Intern

Elkhart, IN · On-site

Student that is part of a school to work program or intern where school credit is applied. Position ... Committed to and participate in the learning environment by observing and asking questions.

Beacon Health System

Student Intern

Elkhart, IN · On-site

$14.25 - $19/hr

Student that is part of a school to work program or intern where school credit is applied. Position ... Committed to and participate in the learning environment by observing and asking questions.

CORSI CABINET GROUP

Production Intern

Indianapolis, IN · On-site

$13.50/hr

Machining/Mill/Panel Line; Finish (Sanding/Scuffing, Flat Line, Spray, Wipe Stain), Kitting/Cart ... Enjoys learning and applying skills. Physical Requirements: * Prolonged/extended periods of time ...

Mission Point

Mission Point Intern

Winona Lake, IN

$13.75 - $18.50/hr

Mission Point Intern Description * General Description * Mission Point Interns are responsible for developing competencies and skills in an area of ministry focus such as Worship, Children's Ministry ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Indiana

Machine Learning Intern information

See Indiana salary details

$24.3K

$40.5K

$83.7K

How much do machine learning intern jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning intern in Indiana is $40,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 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 Indiana? The most popular types of Machine Learning jobs in Indiana are:
What are popular job titles related to Machine Learning Intern jobs in Indiana? For Machine Learning Intern jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Indiana look for? The top searched job categories for Machine Learning Intern jobs in Indiana are:
What cities in Indiana are hiring for Machine Learning Intern jobs? Cities in Indiana with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Indiana as of June 2026, with employment types broken down into 2% Internship, 11% Full Time, 86% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $40,521 per year, or $19.5 per hour.
Indiana Pacers Basketball Analytics Intern - Fall 2026

Indiana Pacers Basketball Analytics Intern - Fall 2026

Pacers Sports & Entertainment

Indianapolis, IN

$14.25 - $19/hr

Internship

Posted 3 days ago

Job description

Internship Term: Fall 2026 (September- December)

Internship Location: on-site in Indianapolis, IN

Anticipated Time Commitment: approximately 40 hours per week

Pacers Sports & Entertainment is seeking a Basketball Analytics Intern who will work directly with the Indiana Pacers analytics team in support of the front office, training staff, and coaching staff. The overall focus will be on helping improve existing data science and data engineering projects, developing new tools, and maintaining current analytics infrastructure. Experience in sports is not required, but applicants should be passionate about basketball and the data industry.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Develop internal software tools for use by the front office and coaching staff, including but not limited to new reports, predictive models, or data engineering pipelines.
  • Gather, clean, store, manage, and integrate data from a variety of sources.
  • Assist in the creation of both standardized reports and ad-hoc analyses.
  • Maintain and extend our existing analytics infrastructure.
  • Innovate across all aspects of basketball operations including coaching, scouting, and performance analytics.
  • Communicate results to the basketball operations staff through presentations, written reports, and tools.
  • Assist with compiling statistics/data and reporting for the Indiana Pacers and Noblesville Boom.
  • Collaborate on team projects and work autonomously on individual work.
  • Assisting with game night responsibilities as needed.
  • Other duties and projects as assigned.

REQUIRED QUALIFICATIONS:

  • Enrolled in a college or university program as a junior, senior, or graduate student.
  • Demonstrated data programming experience (Python and SQL) either in data science, data engineering, or data analysis.
  • Proficient in Microsoft Office applications (Excel, Word, PowerBI).
  • Strong organizational skills with a robust attention to detail in regards both to checking data and visual presentation of deliverables.
  • Excellent communication skills and a desire to learn more both about the basketball industry and data analytics’ impact on the game.
  • Highly motivated and dependable.

DESIRED QUALIFICATIONS:

  • Interest in basketball and familiarity with basketball terminology and analytics is a plus.
  • Basic knowledge of version control systems like Git.
  • Experience with statistical analysis and machine learning techniques (eg, regression/modeling, clustering, hypothesis testing, categorical data analysis), commonly used statistics packages in R or Python, data visualization, and data collection methods.
  • Experience in HTML, CSS, and JavaScript for creating responsive and interactive user interfaces.
  • Familiarity with AI tools (e.g., ChatGPT, Claude) and an interest in applying LLMs to streamline research and analysis

To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

COMPUTER SKILLS:

Strong knowledge of Microsoft Office, Python, as well as the ability to a learn and utilize new computer programs quickly and efficiently.

REASONING ABILITY:

Ability to define problems, collect data, establish facts and draw valid conclusions. Ability to interpret directions and technical diagrams.

PROBLEM SOLVING REQUIREMENTS:

Ability to deal with various internal and external constituents to solve problems and deliver projects on time with accuracy, professionalism and with outstanding customer service.

PHYSICAL AND ENVIRONMENTAL DEMANDS:

The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit, stand, walk, use a computer, use a telephone, speak, hear, and write.

While performing the duties of this job, the noise level in the office work environment is usually moderate and the noise level in the Fieldhouse / game environment is usually loud. The stress level may become high during certain times of the year.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, gender identity, marital status, disability status, protected veteran status, or any other characteristic protected by law.

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