Credit Acceptance · 2 weeks ago
Machine Learning Engineer, Senior Manager
United States
Full-time
Remote
Senior Level, Lead/Staff, Director/Executive
$184K/yr - $270K/yr
8+ years expCredit Acceptance is an award-winning company recognized for its workplace culture and dedication to success. They are seeking a highly motivated and experienced Leader of ML and AI Engineering to lead the development of AI-powered solutions across different business areas, focusing on optimizing business processes and delivering innovative solutions.
Financial Services
Responsibilities
Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel
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
Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization
Guide a team of MLEs across different areas:
Mentor team members on design principles, coding standards, and the adoption of AI productivity tools
Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits
Foster long-term growth through data-driven causality and incrementality
Power existing applications with Gen AI models and engineering to improve downstream experience and decisions
Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas
With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models
Qualification
Required
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., with a solid understanding of mathematics, statistics, and engineering needed to build such 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.) and 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 the engineering, product, business operations, legal and other teams while designing, building, and executing solutions
Strong problem-solving skills with bias for action
Preferred
Experience in automative industry, especially in building ML/AI systems while ensuring local and central regulations
Experience in model interpretability and responsible AI practices
Expertise in data science, advanced experimentation and visualization techniques
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
Experience with Databricks MLflow for ML lifecycle management and model versioning
Hands-on experience with Databricks Model Serving for production ML deployments
Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks
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
Benefits
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical/ dental/vision
Many nonstandard benefits that make us a Great Place to Work
Company
Credit Acceptance
Credit Acceptance is an indirect finance company that helps eligible consumers restart financially.
1001-5000 employees
H1B Sponsorship
Credit Acceptance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (49)
2024 (48)
2023 (15)
2022 (30)
2021 (24)
2020 (16)
Funding
Current Stage
Public CompanyTotal Funding
$2.85B2025-11-13Debt Financing· $500M
2025-02-13Post Ipo Debt· $500M
2024-12-20Post Ipo Debt· $300M
Leadership Team
Kenneth Booth
Chief Executive Officer and President
Recent News
GlobeNewswire
2025-12-11
Credit Acceptance Corporation
2025-11-19
Credit Acceptance Corporation
2025-11-14
Company data provided by crunchbase