Senior Machine Learning Engineer, Manager

🕒 March 11

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $184.4k - $270.4k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Credit Acceptance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1972

💸 Finance

💳 Fintech

Finance • Fintech • Automotive

Credit Acceptance is a company that specializes in providing auto financing solutions to individuals, including those with bad credit history or no credit history at all. With over 50 years of experience, Credit Acceptance has helped more than 4 million consumers secure financing for vehicle purchases. The company operates a network of over 15,000 dealers and offers customers the ability to pre-qualify for auto financing, which does not impact their credit score. Furthermore, Credit Acceptance provides educational resources and tools, such as payment and auto price calculators, to assist customers in managing their finances and understanding their credit options. The company's mission is to drive possibility by offering financial solutions that give individuals the opportunity to improve their financial situation and secure reliable transportation.

📋 Description

• 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 • 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

🎯 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. • 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.) • 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

🏖️ 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