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About the Role

Credit Acceptance is seeking a highly motivated and experienced Leader of ML and AI Engineering within the 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. The leader 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.

Responsibilities

Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation.
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.
Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.
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.
Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges.
Guide a team of MLEs across different areas: Mentoring, Recommendations, Growth, Gen-AI, Lifecycle, and Engineering.
Build ML and Gen-AI platform and inference pipelines for different types of models with engineering partners.

Requirements

PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering.
8+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Regressions, etc.
Solid understanding of mathematics, statistics, and engineering needed to build AI infrastructure.
Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.).
Ability to balance ML model complexity with production requirements.
Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering.
Experience partnering with engineering, product, business operations, legal and other teams while designing, building, and executing solutions.
Strong problem-solving skills with bias for action.

Skills

Decision Science
Machine Learning
Generative AI
Reinforcement Learning algorithms
Recommendation systems
Transformers
Fine-tuned LLMs
Regressions
ML/LLM Operations
Data Science
Advanced experimentation
Visualization techniques
Model interpretability
Responsible AI practices
Parameter-efficient fine-tuning
Model quantization
Quantization-aware fine-tuning of LLM models
Chain-of-Thoughts prompting strategies
Tree-of-Thoughts prompting strategies
Graph-of-Thoughts prompting strategies
Kubeflow
DVC
Ray
gRPC
GraphQL
Databricks MLflow
Databricks Model Serving
Apache Airflow
Spark
Flink
Kafka/Kinesis
Snowflake
Databricks

Location

Work from home
Southfield, Michigan

Work Type

Work from home
On-site

Experience Level

8+ years of relevant experience
10+ years of experience
Senior Manager

Education Level

PhD in Computer Science, Stats, Economics, or a relevant technical field
MS

Salary/Compensations

$184,354 – $270,386
15-30% annual variable bonus of cash and equity

Benefits

401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical/ dental/vision
Many nonstandard benefits
Company provided technology packages
Flexible work options
Extensive growth opportunities
Ongoing business training and career development opportunities
Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses
Generous PTO and holidays (27.5 total days during first full year of employment)

About the Company

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.
Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success.
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 celebrate what makes each of us unique.
We want every Team Member to feel comfortable bringing their authentic self to work — because diverse perspectives make us stronger.
Our inclusive culture and flexible opportunities help each person find the right balance between work and life, in a way that fits them best.

Equal Opportunity

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.