Credit Acceptance is proud to be an award-winning company with 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 excellent product, amazing people and our stable financial history have made us one of the largest used car finance companies in the United States.
In this role, you will work as a dedicated member of a globally distributed team, partnering closely with business partners in the U.S. to design, build, and scale solutions that directly impact our customers and operations. While your legal employer will be our EoR partner, you will be fully integrated into our Credit Acceptance team for day-to-day work and collaboration.
We are seeking a highly motivated and experienced Staff MLE within AI team. The ideal candidate will have a strong technical background in decision science, machine learning,
and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. In this role, you will partner with business and engineering stakeholders to formulate the vision to achieve the company’s strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers and team members. As a Staff, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you would lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms and harnessing data sources to build state-of-the-art ML/AI solutions.
Outcomes and Activities:
- ML Outcomes:
- Explore and apply advanced machine learning techniques, including not limited to large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization.
- Collaborate with