{"id":1547508,"url":"https://alion.io/job/jibeapply-machine-learning-intern-s","title":"Machine Learning Intern - S","company":{"id":2633,"name":"H&R Block","domain":"hrblock.com","url":"https://alion.io/company/hrblock","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kansas City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":258},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Microsoft Office","optional":false},{"name":"AI Agents","optional":true},{"name":"Azure","optional":true},{"name":"Embeddings","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-30T22:31:01Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-09T01:31:52Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"About the Role\nTurn 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.\nThe Embark 2027 Summer Internship runs from May 17, 2027 - July 30, 2027.\nYou’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!\nProgram Highlights:\n$25/hour compensation\nPaid PTO during H&R Block’s annual Reboot Week (June 28 - July 2)\nHousing stipend provided for students whose permanent address is more than 50 miles from the KC metro\nThroughout the 11-week internship, under the guidance of a leader, some of the internship responsibilities will include:\nDesign, build, and deploy machine learning models, including generative AI models, to address complex business problems. \nClean, prepare, and analyze data for machine learning projects\nTune and optimize models for accuracy, efficiency, and scalability in production environments. \nCollaborate with AI/ML and engineering teams to support model integration, deployment, and monitoring\nExplore emerging machine learning, deep learning, and Generative AI technologies\nParticipate in code reviews, technical discussions, and collaborative problem-solving\nDocument findings, share learnings, and present project outcomes and recommendations\nThroughout 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:\nProfessional Development: includes the basics for a professional role, everything from using Microsoft Office to setting up a Teams meeting and giving a presentation.\nGiveback: 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.\nNetworking: 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.\nConnected 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.\nRequired Qualifications\nEducation:\nHigh school diploma or equivalent\nSeeking 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\nAbility to work as part of a diverse team and independently\nHighly motivated, organized, reliable, and detail-oriented\nStrong written and verbal communication skills\nQuick learner and not afraid to work with new computer-based programs and databases\nAbility to be effective and contribute in a fast-paced corporate environment\nWork Experience:\nNo previous work experience necessary\nPreferred Qualifications\nUnderstanding of machine learning fundamentals, including model training, testing, evaluation, and optimization\nExposure to ML frameworks or libraries such as PyTorch, TensorFlow, scikit-learn, or similar tools\nFamiliarity with Python and machine learning fundamentals\nExposure to PyTorch, TensorFlow, scikit-learn, or similar ML frameworks\nFamiliarity with SQL, data analysis, and data preparation\nExposure to Microsoft Azure, Azure Machine Learning, or other cloud-based AI/ML technologies\nInterest in Generative AI, LLMs, embeddings, vector search, and AI agents\nCoursework or project experience involving AI, machine learning, data science, or Generative AI is a plus\nWhy work for us\nAt H&R Block, our purpose is simple: to provide help and inspire confidence in our clients and communities everywhere. For more than 70 years, we’ve led the tax industry and we continue to evolve through our Block Next strategy, blending human expertise with digital innovation. That same commitment to care extends to our associates. When you join us, you become part of a High Performing, Connected Culture built on strong relationships, continuous learning, and a shared commitment to making a meaningful impact. 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