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Machine Learning Intern Jobs in Carmel, IN (NOW HIRING)

PM Mechanic

Plainfield, IN · On-site

$88K - $120K/yr

PM Mechanic Performs preventative and predictive maintenance on facility machinery. Essential ... Seeks to develop technical knowledge through learning from other experts * Understands ...

PM Mechanic

Plainfield, IN · On-site

$88K - $120K/yr

PM Mechanic Performs preventative and predictive maintenance on facility machinery. Essential ... Seeks to develop technical knowledge through learning from other experts * Understands ...

PM Mechanic

Plainfield, IN

$88K - $120K/yr

PM Mechanic Performs preventative and predictive maintenance on facility machinery. Essential ... Seeks to develop technical knowledge through learning from other experts * Understands ...

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Machine Learning Intern information

See Carmel, IN salary details

$25.5K

$42.5K

$87.9K

How much do machine learning intern jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning intern in Carmel, IN is $42,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 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.

What are the most commonly searched types of Machine Learning jobs in Carmel, IN? The most popular types of Machine Learning jobs in Carmel, IN are:
What job categories do people searching Machine Learning Intern jobs in Carmel, IN look for? The top searched job categories for Machine Learning Intern jobs in Carmel, IN are:
What cities near Carmel, IN are hiring for Machine Learning Intern jobs? Cities near Carmel, IN with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Carmel, IN as of July 2026, with employment types broken down into 15% Internship, 1% As Needed, 45% Full Time, 36% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $42,517 per year, or $20.4 per hour.

Grants and Foundations Intern - Fall 2026 - $14/hour up to 180 hours

Conner Prairie Museum

Fishers, IN

$14/hr

Internship

Re-posted yesterday


Job description

Principal Function: The Grants and Foundations Intern is responsible for assisting the Director of Foundation Relations in advancing Conner Prairie's mission through drafting new grant proposals, researching and identifying new funders for the museum, and creating workflows that support increasing revenue to support this unique, historic place.

Essential Duties and Responsibilities: Duties include, but are not limited to:

  1. Develop grant proposals for funding asks of up to $2,500
  2. Take initiative on grant prospecting and research to identify new potential foundation partners for the museum
  3. Collaborate cross-departmentally to curate testimonials for major programs and update project library accordingly
  4. Create evergreen grant reporting dashboard for major grants
  5. Support the development of grant reports through data, testimonials, and media collection
  6. Accompany the Director of Foundation Relations on 1-2 donor visits

Supervisory Responsibilities: This job has no supervisory responsibilities.

Education and/or Experience: High School Diploma or GED required. Current college student or recent grad seeking a career in communications, non-profit management, philanthropy, grant writing, museum studies, project management or a related field preferred. Basic proficiency with Microsoft Word and Excel desired. Excellent verbal and written communication skills required.

Length of Internship/Hours/Rate of Pay:

  • 15 hours/week for 12 weeks
  • September - November 2026
  • $14.00/hour for up to 180 hours
  • Will coordinate and flex schedule around academic commitments as necessary.

Internship Benefits/Perks:

  • Professional development; training and orientation
  • Practical professional experiences
  • Free parking and general admission to Conner Prairie
  • Free admission to Conner Prairie events
  • Discounts at the Conner Prairie Store and cafe
  • Recommendation letters from staff and documentation of hours served

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty according to the requirements of the organization. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties and responsibilities.

Competencies: To perform this job successfully, all employees at Conner Prairie should demonstrate the following competencies:

  • Customer Service - Responds to requests for service and assistance; Manages difficult or emotional customer situations focusing on listening without interrupting and keeping ones emotions under control; Solicits customer feedback to improve service; Maintains confidentiality and meets commitments; Remains open to others' ideas and tries new things.
  • Teamwork - Balances team and individual responsibilities; Exhibits objectivity and openness to others' views; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Able to build morale and group commitments to goals and objectives; Supports everyone's efforts to succeed.
  • Diversity - Demonstrates knowledge of EEO policy; Shows respect and sensitivity for cultural differences; Educates others on the value of diversity; Promotes a harassment-free environment; Builds a diverse workforce.
  • Ethics - Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values.
  • Organizational Support - Follows policies and procedures; Completes administrative tasks correctly and on time; Supports organization's goals and values; Benefits organization through outside activities; Supports affirmative action and respects diversity.
  • Professionalism - Approaches others in a tactful manner; Reacts well under pressure; Treats others with respect and consideration regardless of their status or position; Accepts responsibility for own actions; Follows through on commitments.
  • Quality/Quantity - Demonstrates accuracy and thoroughness; Looks for ways to promote and improve quality; Applies feedback to improve performance; Monitors own work to ensure quality; Meets productivity standards; Completes work in a timely manner; Strives to increase productivity and works quickly.
  • Safety/Security - Observes safety and security procedures; Determines appropriate action beyond guidelines; Reports potentially unsafe conditions; Uses equipment and materials properly.
  • Attendance/Punctuality/Dependability - Is consistently at work and on time; Ensures work responsibilities are covered when absent; Arrives at meetings and events on time; Follows instructions; Responds to management's direction; Takes responsibility for own actions; Keeps commitments; Commits to long hours of work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternative plan.

Job-related Competencies - To perform this job successfully, employees in this job should demonstrate the following competencies:

  • Adaptability - Adapts to changes in the work environment; Manages competing demands; changes approach or method to best fit the situation; Able to deal with frequent change, delays or unexpected events.
  • Technical Skills - Assesses own strengths and weaknesses; Pursues training and development opportunities; Strives to continuously build knowledge and skills; Shares expertise with others.
  • Oral Communication - Speaks clearly and persuasively in positive or negative situations; Listens and gets clarification; Responds well to questions; Demonstrates group presentation skills; Participates in meetings.
  • Initiative - Volunteers readily; Undertakes self-development activities; Seeks increased responsibilities; Takes independent actions and calculated risks; Looks for and takes advantage of opportunities; Asks for and offers help when needed.

Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential duties and responsibilities.

While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee frequently will stand; walk; and lift and/or move up to 25 pounds. The employee occasionally will climb or balance; stoop, kneel, crouch or crawl; and taste or smell.

Specific vision abilities required by this job include close vision (clear vision at 20 inches or less), distance vision (clear vision at 20 feet or more), color vision (ability to identify and distinguish colors), peripheral vision (ability to observe an area that can be seen up and down or to the left and right while eyes are fixed on a given point), depth perception (three-dimensional vision, ability to judge distances and spatial relationships), and the ability to adjust focus (ability to adjust the eye to bring an object into sharp focus).

Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential duties and responsibilities.

While performing the duties of this job, the employee regularly is exposed to working in wet or humid conditions (non-weather), and outdoor weather conditions. The employee will occasionally work near moving mechanical parts, in high, precarious places, near fumes or airborne particles, toxic or caustic chemicals, extreme cold (non-weather), extreme heat (non-weather), risk of electrical shock, and work with explosives. The noise level in the work environment is usually quiet to moderate.

Conner Prairie is generally open from 10:00 a.m. to 5:00 p.m., Tuesday through Sunday, this position will be required to work beyond these hours and when open for special events.