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Internship Machine Learning Jobs in Kansas (NOW HIRING)

Case IH, New Holland Agriculture and STEYR, supplying 360° agriculture applications from machines ... Interns and new team members will also have opportunities to train and share knowledge with others ...

Case IH, New Holland Agriculture and STEYR, supplying 360° agriculture applications from machines ... Interns and new team members will also have opportunities to train and share knowledge with others ...

Case IH, New Holland Agriculture and STEYR, supplying 360 agriculture applications from machines to ... Interns and new team members will also have opportunities to train and share knowledge with others ...

... machining, automation, maintenance, quality, or related fields • Experience with industry ... learning opportunities, including internships, co-ops, job shadowing, and industry-mentored ...

... machining, automation, maintenance, quality, or related fields · Experience with industry ... learning opportunities, including internships, co-ops, job shadowing, and industry-mentored ...

Patient Care Specialist

Newton, KS · On-site

$15.75 - $20.25/hr

... machines. Physical Demand The employee is regularly required to talk or hear. The employee ... learning, training, and language courses * A "you" culture where everyone-from interns to ...

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Internship Machine Learning information

See Kansas salary details

$22.7K

$38K

$78.5K

How much do internship machine learning jobs pay per year?

As of Jul 8, 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 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 key skills and qualifications needed to thrive as an Internship Machine Learning, and why are they important?

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 are internship machine learning positions?

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 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:
Infographic showing various Internship Machine Learning job openings in Kansas as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 74% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $37,978 per year, or $18.3 per hour.
Technical Operations Associate

Technical Operations Associate

Redemption Plus

Overland Park, KS • On-site

Full-time

PTO

Posted 22 days ago


Job description

Technical Operations Associate
Location: Hybrid - Based near either Overland Park, KS or Taunton, MA
Department: IT
Employment Type: Full-Time
Reports To: Chief Technology Officer (CTO)
About Redemption Plus
At Redemption Plus, we're not just a prize supplier - we're Architects of Fun. Since 1996, we've been partnering with family entertainment centers, arcades, and cinemas across the country to create unforgettable guest experiences through curated prizes, smart merchandising strategies, and innovative technology solutions.
As a privately owned, growing company, we operate at the intersection of fun and function. Our tech, operations, and customer-facing teams work closely together to help clients maximize their game room profitability while delivering joy and excitement to families nationwide.
At the heart of Redemption Plus is our team - curious, accountable, and committed to doing excellent work with a sense of urgency. Whether you're working behind the scenes in IT or on the front lines with customers, every role plays a part in our mission.
We live by three core values:
  • Customer Obsession - We anticipate needs and deliver memorable experiences
  • Accountability - We own outcomes, not just activity
  • Hustle - We act with urgency, energy, and excellence in everything we do

About the Role
The Technical Operations Associate is a key member of our IT team, supporting the data systems and business tools that keep our company running smoothly. Reporting directly to the CTO, this role touches a variety of technologies - including Salesforce, SQL, and internal web-based tools - and works cross-functionally with sales, operations, and marketing teams.
This position is not a help desk or desktop support role - it's focused on data accuracy, reporting, and system enablement across teams.
This is an excellent entry point for someone who wants to build technical and analytical expertise in a real-world business environment. You'll receive mentorship, hands-on experience, and the opportunity to grow in areas like data management, process automation, and business system optimization.
What You'll Do
Systems & Data Support
  • Maintain accurate, clean data across Salesforce, pricing platforms, and internal tools
  • Assist with troubleshooting and minor updates to PHP-based internal web applications
  • Identify and resolve data inconsistencies; support internal automation initiatives.

Reporting & Documentation
  • Build and manage Excel-based reports and dashboards
  • Run basic SQL queries to support data extraction and analysis
  • Document processes and workflows to ensure repeatability and compliance

AI & Automation Enablement
  • Design and execute structured prompts to support data analysis, reporting, and operational workflows
  • Build, configure, and maintain custom GPTs and AI-driven tools to support internal business functions
  • Develop and optimize AI-assisted workflows that streamline processes and reduce manual effort across systems
  • Identify and implement automation opportunities across Salesforce, reporting, and internal tools
  • Ensure accuracy, consistency, and reliability of AI-generated outputs within business operations

Cross-Functional Collaboration
  • Partner with internal teams to understand data and system needs
  • Fulfill operational data requests in a timely, accurate manner
  • Participate in team meetings and project planning sessions

Learning & Growth
  • Engage in ongoing training for Salesforce, SQL, PHP, and internal tools
  • Shadow experienced team members and contribute to internal improvement projects
  • Explore paths into systems administration, business intelligence, or development

What We're Looking For
Required Qualifications
  • Bachelor's degree in IT, Computer Science, Business, or a related field - or equivalent experience
  • 0-2 years of professional experience in a technical, operations, or data-driven environment
  • Strong proficiency in Microsoft Excel (pivot tables, formulas, data validation, etc.)
  • Clear communication skills, organizational ability, and high attention to detail
  • Self-starter with a willingness to ask questions, learn quickly, and take initiative
  • Demonstrated integrity - consistently follows through on responsibilities and handles data and decisions with care

Preferred Qualifications
  • Hands-on exposure to Salesforce, PHP, or SQL from coursework, internships, or projects
  • Familiarity with CRM or ERP systems
  • Interest in systems integration, automation, or business operations
  • Experience documenting internal processes or working with structured data
  • Exposure to AI tools or concepts (e.g., ChatGPT, machine learning basics, or process automation using AI-driven systems).
  • Curiosity about leveraging AI to improve efficiency, reporting, or data accuracy across business systems.

Why Join Redemption Plus?
  • Growth Opportunity: Clear path to more advanced roles in business systems, analytics, or IT
  • Mentorship-Driven: Direct access to experienced technical leadership, including the CTO
  • Work-Life Flexibility: Hybrid work schedule with the option to work remotely part of the week
  • Team Culture: Collaborative, fast-moving, values-driven environment
  • Tools & Tech Exposure: Work with Salesforce, SQL, PHP, Excel, and more
  • Benefits: Competitive salary, comprehensive benefits package, and paid time off

Work Environment & Travel
  • Hybrid work model, up to 2 days/week: Must be based near either Overland Park, KS or Taunton, MA
  • Minimal travel required (less than 5%) for team meetings or training

A successful candidate's starting salary will be determined based on a variety of factors, including skills, experience, training, and credentials, as well as geographic location, internal equity, and budget availability. It is not typical for a candidate to start at or near the top of the range, as compensation decisions are made on a case-by-case basis and aligned with business needs.
This is a hybrid position open to candidates located in Massachusetts or Kansas. We are committed to fair, competitive, and equitable compensation practices in all hiring decisions.
Redemption Plus is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We also provide reasonable accommodations for applicants with disabilities during the recruitment process upon request.