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Machine Learning Intern - S

Job in Kansas City, Jackson County, Missouri, 64101, USA
Listing for: H&R Block, Inc.
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-10-05
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 25 USD Hourly USD 25.00 HOUR
Job Description & How to Apply Below
About the Role

Turn your classroom learning into real-world impact with H&R Block’s Embark 2027 Summer Internship Program, open to students studying Computer/Data Science, Machine Learning
, or Applied/Computational Mathematics
. This 11-week paid internship offers meaningful, real-world experience that aligns with your field of study while making a valuable impact on our organization.

May 17, 2027 – July 30, 2027.

You’ll work at our corporate headquarters in the heart of downtown Kansas City’s Power & Light District, where you’re just steps, or a streetcar ride, away from incredible restaurants, entertainment, and city energy. Inside our building, you’ll have access to amenities that make work-life balance easy, including an onsite Starbucks, a company dining hall with plenty of options, a free fitness center, and free parking!

Program

Highlights
  • $25/hour compensation
  • Paid PTO during H&R Block’s annual Reboot Week (June 28 – July
    2)
  • Housing stipend provided for students whose permanent address is more than 50 miles from the KC metro

Throughout the 11-week internship, under the guidance of a leader, some of the internship responsibilities will include:

  • Design, build, and deploy machine learning models, including generative AI models, to address complex business problems.
  • Clean, prepare, and analyze data for machine learning projects
  • Tune andoptimizemodels for accuracy, efficiency, and scalability in production environments.
  • Collaborate with AI/ML and engineering teams to support model integration, deployment, and monitoring
  • Explore emerging machine learning, deep learning, and Generative AI technologies
  • Participate in code reviews, technical discussions, and collaborative problem-solving
  • Document findings, share learnings, and present project outcomes and recommendations

Throughout the 11-week internship, as a part of the Embark program, interns will also participate in workshops and events that align with the program's four pillars:

Professional Development
: includes the basics for a professional role, everything from using Microsoft Office to setting up a Teams meeting and giving a presentation.

Giveback
: involves participating in Make Every Block Better community service events. The goal is to teach the importance of community, make an impact, and provide bonding time for teams.

Networking
: entails meeting various executives with offices at H&R Block’s headquarters, having lunch with directors and vice presidents, spending time with a mentor and getting to know people beyond their assigned department.

Connected Culture
: is meant to be fun and teach the importance of working hard and playing hard. H&R Block might take the interns to a Kansas City Royals game or facilitate other competitions meant to be fun or instill teamwork.

Required Qualifications

Education:

  • High school diploma or equivalent
  • Seeking to obtain a degree in Information Computer/Data Science, Machine Learning, Applied/Computational Mathematics
    , or some similar discipline with a GPA of 3.0 or above
  • Ability to work as part of a diverse team and independently
  • Highly motivated, organized, reliable, and detail-oriented
  • Strong written and verbal communication skills
  • Quick learner and not afraid to work with new computer-based programs and databases
  • Ability to be effective and contribute in a fast-paced corporate environment

Work Experience:

  • No previous work experience necessary
Preferred Qualifications
  • Understanding of machine learning fundamentals, including model training, testing, evaluation, and optimization
  • Exposure to ML frameworks or libraries such as PyTorch, Tensor Flow, scikit-learn, or similar tools
  • Familiarity with Python and machine learning fundamentals
  • Exposure to PyTorch, Tensor Flow, scikit-learn, or similar ML frameworks
  • Familiarity with…
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