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Machine Learning Intern Jobs in Dayton, OH (NOW HIRING)

Turabify Co.

Ai Automation Intern

Franklin, OH · On-site

$13.75 - $18.50/hr

As an Ai Automation Intern, you will assist in the development and implementation of automation ... Basic understanding of AI concepts, machine learning, and automation technologies. * Proficiency in ...

Turabify Co.

Ai Automation Intern

Franklin, OH

$13.75 - $18.75/hr

As an Ai Automation Intern, you will assist in the development and implementation of automation ... Basic understanding of AI concepts, machine learning, and automation technologies. * Proficiency in ...

Turabify Co.

Ai Automation Intern

Franklin, OH · On-site

$13.75 - $18.50/hr

As an Ai Automation Intern, you will assist in the development and implementation of automation ... Basic understanding of AI concepts, machine learning, and automation technologies. * Proficiency in ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Dayton, OH

Machine Learning Intern information

See Dayton, OH salary details

$23.8K

$39.7K

$82K

How much do machine learning intern jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning intern in Dayton, OH is $39,672.00, 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 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.

More about Machine Learning Intern jobs

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Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Dayton, OH as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $39,672 per year, or $19.1 per hour.

Machine Learning Engineer Co-Op

Beavercreek, OH • On-site

Etegent Technologies, LTD
Scientific Research and Development Services • 11 - 50 employees
Learn more about Etegent Technologies, LTDexternal

Full-time

Medical, Dental, Vision, Retirement

Posted 12 days ago

Job description

Description

Brief Description of Role:

If you enjoy designing innovative systems and solving real-world problems, you'll have fun working with us! Co-ops at Etegent get the opportunity to work on projects that make a difference in a wide range of exciting fields. Etegent conducts cutting edge research in areas such as:

  • Training machine learning models to find objects in radar, lidar, panchromatic, hyperspectral and vibrometry data.
  • Developing tools to reveal hidden insights in massive, diverse sets of data.
  • Curating synthetic and measured data in support of algorithm development.
  • Developing performance models for autonomous systems.
  • High-performance computing - from low swap to supercomputers.

Etegent has a long history of working with co-students to help them achieve their professional goals. In fact, many of our full-time engineers began their careers with Etegent as co-ops. We know first-hand the importance of providing co-ops with high quality learning experiences tailored to the individual's goals.


Responsibilities:

At Etegent, co-op students get the opportunity to work closely with our researchers to help develop and implement cutting edge technology. The specific tasks will vary based on the project and the individual's skills, interests, knowledge, and aptitude, but will involve developing innovative solutions to solve customer problems. 

Requirements

Minimum Qualifications:

(Our expectations will vary based on the education level of the applicant.)

  • Exposure to Python and Git.
  • Exposure to data structures and program design.
  • Comfortable working with Linux operating systems.
  • Ability to travel to our Beavercreek office at least 3 times a week.


Preferred Qualifications:

(Our expectations will vary based on the education level of the applicant.)

  • Exposure to ML/AI frameworks (e.g., PyTorch, TensorFlow).
  • Exposure to Python statistical/scientific computing packages (e.g., NumPy, Scikit-Learn).
  • Exposure to Computer Vision concepts and terminology.
  • Visual interface experience (e.g., plotly, application servers, web design).
  • Statistical pattern recognition. 
  • Expected graduation of 2030. 

Working at Etegent:

At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:

  • Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
  • Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
  • Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
  • Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
  • Fun employee events: Enjoy frequent employee get-togethers outside of work! 



Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.

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