Credit Acceptance
Staff Machine Learning Engineer
USA - Remote · Staff+
Sponsorship not specified$154k-$226kDetected 30 days ago
ExpressAlgorithmsSnowflakeDatabricksGraphQLgRPCKafkaMachine LearningDeep LearningTensorFlowPyTorchSparkAirflowData ScienceNLPLLMsRAGAgentic AILLMOpsMLOpsStatisticsA/B TestingLeadershipCommunication
About the role
- 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.
Responsibilities
- With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models
- Shared goals, open communication and mutual support create a sense of collective purpose.
- Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success.
- We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions.
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
- Proficiency with model training/inference frameworks (PyTorch, TensorFlow, Hugging Face Transformers)
- Hands-on experience with building, fine-tuning and deploying multi-modal LLM Models and managing the end-to-end model lifecycle
- Knowledge of multimodal AI (text, image, audio integration)
Skills
- Strong problem-solving skills with bias for action
- GenAI
- ML Preference:
- 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
- GenAI Preference:
- 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
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.
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
Company info
- To be successful in this role,
- Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business.
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