Leader of Machine Learning Engineering

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!

We are hiring a Leader of Machine Learning Engineering to work on our GenAI platform transforming the lives of all our customers: employees, dealers and customers. The ML/AI team at Credit Acceptance is a part of our Engineering team, which has a mission to bring innovation and modernization to the auto-lending industry. As an MLE leader 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
• Identify and build the solutions for various GenAI problems and manage the end-to-end lifecycle from scoping and adaptation to application integration, monitoring and performance management.  
• Investigate the machine learning methodologies, including deep learning, LLM, and graph NN, to address diverse challenges across different business verticals and customers.  
• Build and deploy contextual ChatBots and analytical tools providing bespoke responses to internal and external customers across different platforms 
• Develop LLM models trained and fine-tuned on internal multi modal data (ex: documents, policies, Pdfs, graphs, text, etc.) for a totally new set of problems 
• Solve many open-ended problems as overall owner and foster a culture of widespread ML utilization 

 

Competencies: The following items detail how you will be successful in this role.

• Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.
• Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.
• One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.
• Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.

Requirements:

• PhD in Computer Science, Stats, Economics, or relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience 
• 8+ years of experience building and deploying Deep Learning models including Reinforcement algorithms, Recommendation systems, etc. with solid understanding of the mathematics, advanced statistics and engineering behind building such infra 
• Previous experience in a leadership position
• Extensive experience and technical expertise in Python, ML tools and frameworks (Scikit-Learn, Tensorflow, PyTorch, Keras,)  
• Proven track rec