# Quantum Computing Intern at American Family Insurance Group - Company: American Family Insurance Group - Location: Madison, WI - Type: Internship · Internship - Posted: 2026-09-25 - Apply: https://amfam.wd1.myworkdayjobs.com/AmFamGroupInternCareers/job/WI-Madison/AMAFM---Quantaum-Internship-2027_R39562 - Page: https://newgrad.ai/jobs/quantum-computing-intern-26a963c1 ## Summary by newgrad.ai What you'll do: - Develop quantum computing applications addressing business problems with 1-2 mentors - Implement quantum algorithms and conduct research potentially leading to publications - Prepare data and present project results to management - Stay current on quantum computing trends through research and seminars What they're looking for: - Currently enrolled student graduating August 2026 or later from accredited 4-year institution - Pursuing Bachelor's, Master's, or PhD in relevant field - Strong knowledge of hybrid quantum-classical methods and quantum machine learning - Python, SKLearn, and quantum frameworks (Cirq, Qiskit, Tensor Networks) experience Pay and perks: - $25.00–$44.00 per hour - Potential one-time housing assistance bonus based on office proximity ## Posting ### Summer 2026 Intern An internship with AmFam Group is a great opportunity to build your skillset and explore your career interests. Our summer student internship is a 10-to-14-week program that starts in mid to late May and ends in August. During your internship, you'll work on impactful projects that make a difference at our company, with our customers, and in our communities. You'll also gain exposure to different areas of our business and have numerous opportunities for networking and coaching. Interns may be eligible for a one-time hiring bonus to assist with housing costs depending upon proximity to an AmFam Group office. Compensation Minimum: $25.00 Compensation Maximum: $44.00 As a Quantum Computing Intern, you will work closely with 1-2 (co)mentor(s) to implement Proof-of-Concept implementations where quantum computing can have an advantage over traditional techniques. Based on the findings and alignment with the business area, there will hopefully be an opportunity to further develop the idea to bring it to Production. You will have the opportunity to implement Quantum algorithms to solve real world business problems and/or conduct quantum computing research, potentially leading to a publication and/or conference proceeding. ### Responsibilities - Develop an understanding of the organization's business environments, corporate culture and structure to support work initiatives. - Open to and support new ideas, systems and procedures. Generate creative ideas and actions in response to changing situations. - Build and develop quantum computing applications to address business problems. - Assist with data cleaning and preparation. - Present project results to management and/or department personnel. - Stay up to date on current quantum computing trends through research and seminars. - Other duties as assigned. ### Requirements - Must be in student status at an accredited 4-year college or university during the internship, graduating August 2026 or later. - Must be pursuing a Bachelors, Masters, or PhD. - Major/program must align with internship role. - Solid understanding of Hybrid Quantum-classical methods (e.g., VQA's) and Quantum Machine learning. - Experience with Python. - Experience with SKLearn. - Experience with Cirq, Qiskit, Tensor Networks for quantum computing, or the like. - Experience with AWS and/or GCP is helpful. This role may be considered for a Full-Time, in-office or hybrid work arrangement based on the selected candidate's location. Work locations for this role include Madison, WI and Boston, MA. ### Licenses Not applicable. ### Travel Requirements Up to 10%. ### Physical Requirements Work that primarily involves sitting/standing. ### Working Conditions Not applicable. ### Additional Information - To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability. - Offer to selected candidate will be made contingent on the results of applicable background checks - Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions - Sponsorship will not be considered for this position unless specified in the posting We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits. We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation. From American Family Insurance Group's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply. --- More new-grad and intern roles: https://newgrad.ai/llms.txt