Staff Machine Learning Engineer

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country.

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:

• This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member.
• 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 management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
  • Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
  • Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs.
    • Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
    • Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams.
    • Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization
  • Guide a team of MLEs across different areas:
    • Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.
    • Recommendations – Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits
    • Growth: Foster long-term growth through >

      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

      Advice!

      We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!

      P.S.

      We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk!

      Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.

      Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.

      California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.

      Play the video below to learn more about our Company culture.