Credit Acceptance Corporation ยท 10 hours ago
Credit Acceptance Corporation | Staff Machine Learning Engineer GA
Maximize your interview chances
Pharmaceuticals
Insider Connection @Credit Acceptance Corporation
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
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
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
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
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 Corporation
Funding
Current Stage
Early StageCompany data provided by crunchbase