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 great 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
cutting-edge 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