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Machine Learning Intern Jobs in Carney, MI (NOW HIRING)

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Machine Learning Intern information

See Carney, MI salary details

$23.8K

$39.7K

$82K

How much do machine learning intern jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning intern in Carney, MI is $39,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

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.

More about Machine Learning Intern jobs
What cities near Carney, MI are hiring for Machine Learning Intern jobs? Cities near Carney, MI with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Carney, MI as of May 2026, with employment types broken down into 53% Full Time, 35% Part Time, 4% Temporary, 4% Contract, and 4% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $39,693 per year, or $19.1 per hour.

Federal Work Study - Online Learning 2026-2027

Bay College

Escanaba, MI • On-site

$13.73/hr

Full-time

Posted 11 days ago

Job description

Position Details
Position Information
Position Title
Federal Work Study - Online Learning 2026-2027
Pay Grade Level
FLSA
Benefits
Department
Online Learning
Campus Location
Escanaba
Pay Rate
$13.73 per hour
Min Salary
Max Salary
FTE
0.4
Position Type
Student
Job Summary/Basic Function
The Online Learning student employee will assist the Online Learning Department in providing quality support to those who utilize online technologies at Bay College.
The purpose of the Federal Work-Study Program is to give a student an opportunity to develop skills, gain on-the-job experience for future employment, and give the student flexibility to work around class schedules.
Minimum Qualifications
- Experience with online/hybrid courses in Blackboard and myBay
- Experience with Microsoft office and Google Drive/Docs
- Enthusiastic to learn new technology and software.
- Familiar with general computer technology, including tablets and smart phones.
- Experience providing customer service.
- Enjoys working with people.
- Able to communicate effectively and with a positive attitude.
- Able to follow established procedures and closely follow written and oral directions.
- Attentive to detail.
- A high level of personal integrity.
- A registered student of Bay College who is enrolled in the Fall and/or Winter semester.
Must be a Bay College student in the work study program to be considered for this position. Eligibility for work-study is determined after you file the Free Application for Federal Student Aid (FAFSA). Work-study requires that you are enrolled for a minimum of six credits that applies towards semester you are employed. You must maintain Satisfactory Academic Progress.
Preferred Qualifications
Months Per Year
Work Hours
Average 10-15 hours per week, dependent upon your work study award.
Supervision Exercised
N/A
Supervision Received
Works under the Executive Director of Online Learning and Instructional Design.
Work Environment
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 exposed to weather conditions prevalent at the time. The noise level in the work environment is usually moderate, but may be loud in areas of equipment operation.
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 accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is required to stand; move around the Center; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
Job Duties
Job Duty
  • Providing technical assistance to students.
  • Assisting with troubleshooting questions and/or problems related to Online Learning.
  • Assisting with designing, developing, and delivering training.
  • Assisting with the development of instructional products.
  • Ensure students complete the Online Learning Orientation (OLO)
  • Remediates inaccessible digital documents to meet accessibility guidelines.
  • Resolves tickets in the online help ticketing que.
  • Other activities as assigned by the Executive Director of Online Learning or the Instructional Designer that contributes to the advancement and success of online programs at Bay College.

Department Information
Contact(s)
Beth Berube, Director of Human Resources
Shena Turan, Human Resources Specialist
Contact Phone/Extension
906-217-4016
Contact Email
[email protected]
Contact Fax
906-217-1625
Posting Detail Information
Posting Number
Posting Date
03/20/2026
Close Date
Open Until Filled
Yes
Special Instructions to Applicants
Quick Link for Internal Postings
https://careers.baycollege.edu/postings/2787

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