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RSM US is an American accounting, tax and consulting firm whose predecessor was founded in 1926, and it is the largest firm serving the middle market, deliberately positioned below the big four. It provides audit and assurance, tax compliance and advisory, and a consulting practice covering technology, risk, security, transactions and management consulting, organised around industry specialisms rather than service lines alone. Headquartered in Chicago and part of the international RSM network, it converted from a partnership toward outside investment in 2024, a change that has been reshaping how large accounting firms are owned.

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

Tax Digital Services, AI Engineering Intern

Do you want to help drive the next wave of technology innovation? As an intern with RSM’s Tax Digital Services team you will gain experience with development, testing, and deployment of AI and machine learning solutions that enhance business capabilities. You will work alongside top tax technology mentors developing hands-on experience working with data and models and building foundational knowledge in AI engineering practices.

Responsibilities:

  • Build and test tax applications using AI powered code development platforms using natural language prompts.
  • Assist in designing, developing, and testing machine learning models for tasks such as classification, regression, clustering, and recommendations.
  • Support preprocessing and basic analysis of datasets using standard data tools.
  • Work with data scientists, engineers, and product teams to help integrate models into production systems.
  • Assist with experiments and model evaluations, documenting results for senior team members.
  • Research and contribute to team knowledge sharing on AI/ML tools and usage.

Qualifications

Required Qualifications:

  • 90 credits towards B.A. / B.S. degree or equivalent from an accredited university in Computer Science, Computer Engineering, MIS or similar field.
  • Proficiency in at least one programming language, ideally Python, and familiarity with relevant libraries/frameworks (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
  • Familiarity with AI powered code development platform (e.g., Copilot/GitHub Spark, Manus, Cursor)
  • Foundational knowledge of machine learning concepts, Data engineering operations (e.g: Data extraction , SQL concepts)
  • Basic knowledge of data manipulation and visualization tools.
  • Broad understanding of machine learning principles and algorithms.
  • Travel to assigned client or office location is required. Must have access to reliable modes of transportation to these locations.
  • A minimum 3.0 GPA is preferred

Preferred Qualifications:

  • Excellent written and verbal communication skills
  • Strong computer skills, including proficiency in Microsoft Excel
  • Azure AI Fundamentals or similar entry-level certification
  • Ability to work effectively on a hybrid team
  • Ability to work and multitask in a fast-paced environment
  • Working knowledge of analytics, data management, statistics, accounting, and computer applications

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at [email protected].

RSM does not intend to hire entry-level candidates who require sponsorship now or in the future. This includes individuals who will one day request or require RSM to file or complete immigration-related forms or prepare letters on their behalf in order for them to obtain or continue their work authorization.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $34 - $40 per hour
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