Embark Machine Learning Intern - S
H&R Block · KANSAS CITY, MO, US
About this role
## Embark Machine Learning Intern (S) ### About the Role Turn your classroom learning into real-world impact with H&R Block’s **Embark 2027 Summer Internship Program**. This **11-week paid internship** is open to students studying **Computer/Data Science, Machine Learning, or Applied/Computational Mathematics**. **Dates:** May 17, 2027 – July 30, 2027 **Location:** Corporate headquarters in downtown **Kansas City (Power & Light District)** ### Program Highlights - **$25/hour** compensation - **Paid PTO** during H&R Block’s annual **Reboot Week** (June 28 – July 2) - **Housing stipend** for students whose permanent address is more than **50 miles** from the KC metro - Onsite amenities including **Starbucks**, company dining hall, **free fitness center**, and **free parking** ### Internship Responsibilities (11 weeks) Under the guidance of a leader, you may: - **Design, build, and deploy** machine learning models, including **generative AI** models, to solve complex business problems - **Clean, prepare, and analyze** data for ML projects - **Tune and optimize** models for accuracy, efficiency, and scalability in production - Collaborate with **AI/ML and engineering teams** for 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 ### Embark Program Pillars - **Professional Development:** professional skills, Microsoft Office, Teams, presentations - **Giveback:** community service through **Make Every Block Better** - **Networking:** meet executives, lunch with directors/VPs, mentor time, cross-team connections - **Connected Culture:** team-building and fun events (e.g., Royals game or competitions) ### Required Qualifications - **High school diploma** or equivalent - Pursuing a degree in **Information Computer/Data Science, Machine Learning, Applied/Computational Mathematics**, or similar - **GPA of 3.0+** - Ability to work **independently** and as part of a **diverse team** - Highly motivated, organized, reliable, detail-oriented - Strong **written and verbal communication** skills - Quick learner; comfortable with new computer-based programs and databases - Effective in a **fast-paced corporate environment** - **No previous work experience necessary** ### Preferred Qualifications - Understanding of machine learning (additional details not included in the provided text)
Listing freshness
CronJobs last confirmed this listing 4h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.