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Machine Learning Intern Jobs in Wichita, KS (NOW HIRING)

Intern

Newton, KS ยท On-site

$13.25 - $17.50/hr

This position requires that the individual perform a variety of tasks based on the type of position or internship being offered. All volunteers shall operate in accordance with the policies ...

Intern

Wichita, KS ยท On-site

$13.50 - $18/hr

This position requires that the individual perform a variety of tasks based on the type of position or internship being offered. All volunteers shall operate in accordance with the policies ...

Intern

Wichita, KS ยท On-site

$13.50 - $18/hr

This position requires that the individual perform a variety of tasks based on the type of position or internship being offered. All volunteers shall operate in accordance with the policies ...

Intern

Newton, KS ยท On-site

$13.25 - $17.50/hr

This position requires that the individual perform a variety of tasks based on the type of position or internship being offered. All volunteers shall operate in accordance with the policies ...

Showing results 21-35

Machine Learning Intern information

See Wichita, KS salary details

$25.2K

$42K

$86.9K

How much do machine learning intern jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning intern in Wichita, KS is $42,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 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 Wichita, KS? The most popular types of Machine Learning jobs in Wichita, KS are:
What are popular job titles related to Machine Learning Intern jobs in Wichita, KS? For Machine Learning Intern jobs in Wichita, KS, the most frequently searched job titles are:
What cities near Wichita, KS are hiring for Machine Learning Intern jobs? Cities near Wichita, KS with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Wichita, KS as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $38,095 per year, or $18.3 per hour.

Human Resource Intern (Talent Acquisition) - Fall 2026

LANGE

Wichita, KS โ€ข On-site

$18 - $20/hr

Internship

Posted 19 days ago


Job description

Description:

The Human Capital Intern will support the full-cycle recruiting activities of the Human Capital team during a 12-week internship. This role works closely with our Recruiter and HR Generalists to assist with sourcing talent, scheduling interviews, coordinating recruiting events, and enhancing the candidate experience. This internship offers hands-on exposure to talent acquisition in a fast-paced, multi-company environment and is ideal for students interested in HR, recruiting, or organizational development.


Start date as early as August 10, 2026.


Responsibilities
  • Supports talent acquisition efforts by sourcing candidates through job boards, social media, community partners, schools, job fairs, and other recruiting channels.
  • Assists with the hiring process by screening resumes, coordinating interviews, communicating with candidates and hiring managers, and helping maintain a positive candidate experience.
  • Coordinates pre-employment activities under the guidance of the HR team, including background checks, drug screenings, physicals, employment documentation, and new hire communications.
  • Prepares onboarding materials, enters employee information into HR systems (Paylocity, Axonify, etc.), and assists with new hire orientation activities.
  • Maintains accurate recruiting and employee records by updating job postings, applicant tracking systems, HRIS data, and other recruiting documentation.
  • Develops knowledge of talent acquisition and HR best practices by learning behavioral interviewing techniques, employment law, confidentiality standards, and equal employment opportunity requirements.
  • Represents LANGE professionally by promoting the company's culture and employment brand during recruiting events, job fairs, school partnerships, and candidate interactions.
  • Contributes to the Human Resources team by assisting with administrative tasks, supporting cross-functional projects, and performing other duties that provide exposure to benefits, employee relations, training, compliance, and employee engagement.
Requirements:Minimum Qualifications
  • Currently pursuing a bachelor’s degree in Human Resources, Business Administration, Communications, Psychology, or a related field.
  • Strong interest in recruiting, or talent development.
  • Excellent communication and interpersonal skills; professional and welcoming demeanor.
  • Highly organized with strong attention to detail and follow-through.
  • Ability to handle sensitive information with confidentiality.
  • Proficient with Microsoft Office tools; familiarity with LinkedIn or job boards is a plus.

Supervisor Responsibilities

There are no supervisory responsibilities at this time.


Work Environment

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

· Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

· The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading; visual inspection involving small defects, small parts, and/or operation of machines (including inspection); using measurement devices; and/or assembly or fabrication parts at distances close to the eyes. The worker is required to have visual acuity to operate motor vehicles and/or heavy equipment.

· The worker is not substantially exposed to adverse environmental conditions (such as in typical office or administrative work.)


Legal Jargon

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. This employer uses E-Verify.


This position requires use of information which is subject to the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). Non-U.S. persons selected must meet eligibility requirements for access to export-restricted information. The ITAR/EAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.