Machine Learning Intern - S

H&R Block•Kansas City, MO
•Onsite

About The Position

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. The Embark 2027 Summer Internship runs from 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!

Requirements

  • 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
  • No previous work experience necessary

Nice To Haves

  • Understanding of machine learning fundamentals, including model training, testing, evaluation, and optimization
  • Exposure to ML frameworks or libraries such as PyTorch, TensorFlow, scikit-learn, or similar tools
  • Familiarity with Python and machine learning fundamentals
  • Exposure to PyTorch, TensorFlow, scikit-learn, or similar ML frameworks
  • Familiarity with SQL, data analysis, and data preparation
  • Exposure to Microsoft Azure, Azure Machine Learning, or other cloud-based AI/ML technologies
  • Interest in Generative AI, LLMs, embeddings, vector search, and AI agents
  • Coursework or project experience involving AI, machine learning, data science, or Generative AI is a plus

Responsibilities

  • 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 and optimize models 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
  • Participate in workshops and events that align with the program's four pillars: Professional Development, Giveback, Networking, and Connected Culture.

Benefits

  • $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
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