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Internship Machine Learning Jobs in Kansas (NOW HIRING)

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Internship Machine Learning information

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How much do internship machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for internship machine learning in Kansas is $37,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,000.00 and $41,000.00 per year, depending on experience, location, and employer.

What is an internship machine learning?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an internship machine learning?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What is the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the most commonly searched types of Machine Learning jobs in Kansas?

The most popular types of Machine Learning jobs in Kansas are:

What are popular job titles related to Internship Machine Learning jobs in Kansas?

For Internship Machine Learning jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning jobs in Kansas look for?

The top searched job categories for Internship Machine Learning jobs in Kansas are:

Internship Machine Learning jobs near you
Infographic showing various Internship Machine Learning job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,978 per year, or $18.3 per hour.

Junior Software Engineer - Internship

Aechelon Technology

Overland Park, KS

Internship

Re-posted 20 days ago

Job description

We are currently seeking students who have attained Sophomore or Junior Status in Computer Science or Computer Engineering programs to join our Summer Internship program. In addition to technical acumen, we highly value leadership skills as we believe innovation thrives when developers take initiative to make great software.

This position will be a member of our core 3D Graphics Software Engineering team, which develops pC-Nova, Aechelon Technology's industry-leading visual simulation application, based in our Overland Park, Kansas office. This role will be paired with a Mentor who will assist in developing new technologies to improve Aechelon's products. This role will have the opportunity to contribute to Aechelon's shipping products and therefore make a lasting impact on our Company and our end users.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Collaborate with core 3D Graphics Software Engineering team to develop and enhance pC-Nova, Aechelon Technology's flagship visual simulation application
  • Work closely with dedicated Mentor to design and implement new technologies aimed at improving Aechelon's product offerings
  • Contribute directly to production-level software, with the opportunity to make a meaningful and lasting impact on both company products and end-user experience

REQUIRED QUALIFICATIONS:

  • Passion for developing fast code and solid software engineering principles
  • In-depth knowledge of and experience programming in C or C++ languages
  • Two years progress towards B.S. in Computer Science or Computer Engineering
  • Strong analytical and problem-solving skills
  • Ability to work with export-controlled technology

DESIRED COMPETENCIES:

  • Experience with developing 3D applications with Open GL or Direct3D
  • Experience with rendering engines such as Unreal, Unity or Babylon.js
  • Experience with multi-processing real time systems
  • Experience with GPGPU development using CUDA, OpenCL, or OpenGL Compute
  • Experience with machine-learning technology such as Convolutional Neural Networks
  • Experience with defect tracking systems such as Jira or Bugzilla
  • Experience with Configuration Management (CM) systems such as Perforce
  • Proficiency with scripting languages: bash, Javascript, Python, etc.

We seek people who share our company's values of extraordinary commitment to technology, customers and the pursuit of excellence. We will give you a chance to work with some of the most talented people in the simulation and training industry.

Apply