What are the responsibilities and job description for the Staff Machine Learning Engineer position at 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 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 a Senior Staff / 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
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 3 years of relevant experience or MS with at least 5 years of experience

6 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

Hands-on experience with building, fine-tuning and deploying multi-modal LLM Models and managing the end-to-end model lifecycle

Experience partnering with the engineering, product, BizOps and other data teams while designing, building and executing solutions

Deep understanding in at least three of the following areas : data mining, advanced statistics, machine learning, NLP or computer vision

Strong problem solving with bias for action

Preferred :

Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models

Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies

Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray)

Ability to construct batch and streaming microservices exposed as gRPC and / or GraphQL endpoints

Target Compensation : A competitive base salary range from $153,759 - $225,514. This position is eligible for an annual variable bonus of cash and equity, between 10-20%. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.

Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone : San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego.

INDENGLP

LI-Remote

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.

Salary : $153,759 - $225,514

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