ML/AI Intern

About Credit Acceptance

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally.

Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!

The Opportunity: ML/AI Intern

As an ML/AI Intern, you will support the democratization of ML/AI and its applications within Credit Acceptance. Your role will involve assisting in ensuring that these technologies remain accessible, robust, trustworthy, scalable, and cost-efficient. You will work closely with our team and internal customers, optimizing solutions to meet their needs by delivering incremental value and solving their problems. Your internship will provide you with the opportunity to learn and contribute to the future of machine learning within a rapidly growing team.

Outcomes and Activities

• Assist in identifying and building solutions for various GenAI problems.
• Support the end-to-end lifecycle of ML and AI projects, from scoping and adaptation to application integration, monitoring, and performance management.
• Aid in the investigation of ML and AI methodologies, including deep learning, LLM, and graph NN, to address diverse challenges across different business verticals and customers.
• Help build and deploy contextual Chatbots and analytical tools to provide bespoke responses to internal and external customers across different platforms.
• Participate in the development and fine-tuning of LLM models trained on internal multi-modal data (e.g., documents, policies, PDFs, graphs, text) for new problem sets.
• Collaborate with team members to foster a culture of widespread ML utilization.

Requirements

• Currently pursuing a graduate level degree in Computer Science, Statistics, Economics, or a relevant technical field.
• Strong understanding of machine learning concepts and techniques.
• Hands-on experience with deep learning models, reinforcement algorithms, or recommendation systems.
• Eagerness to learn and apply new skills in a practical setting.
• Strong problem-solving skills and a proactive mindset.

Preferred Qualifications

• Currently pursuing a master’s or PhD degree.
• Well awareness and experience of using techniques across LLM models, data mining, NLP, or computer vision through coursework or personal projects.
• Knowledge of basic programming languages (e.g., Python) and machine learning libraries (e.g., TensorFlow, PyTorch).

Knowledge and Skills

• Ability to communicate technical information effectively, both verbally and in writing.
• Willingness to solve problems by offering simple, practical solutions.
• Promptness in responding to tasks and projects.
• Ability to build trust and relationships within the organization.
• Capability to prioritize and execute tasks in a high-pressure environment.

Internship Details

This is a 12-week Internship with a start date of May 18, 2026, and an end date of August 7, 2026. Targeted compensation is $23/hour.

This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.

Benefits

Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work.

Our Company Values

To be successful in this role, Team Members need to be:

• Positive by maintaining resiliency and focusing on solutions.
• Respectful by collaborating and actively listening.
• Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions.
• Direct by effectively communicating and conveying courage.
• Earnest by taking accountability, applying feedback and effectively planning and priority setting.

Expectations

• Remain compliant with our policies, processes, and legal guidelines.
• All other duties as assigned.
• Attendance as required by department.

Key skills/competency

• Machine Learning
• Artificial Intelligence
• Deep Learning
• Large Language Models (LLM)
• Natural Language Processing (NLP)
• Python
• TensorFlow
• PyTorch
• Data Mining
• Problem Solving