Staff Machine Learning Engineer

Credit Acceptance

Staff Machine Learning Engineer developing AI-powered solutions for Credit Acceptance in a remote role. Collaborating with business and engineering stakeholders to achieve strategic goals.

Posted 6/18/2026full-timeMissouri • 🇺🇸 United StatesLead💰 $153,759 - $225,514 per yearWebsite

About the role

Key responsibilities & impact

Explore and apply advanced machine learning techniques, including not limited to large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization.
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.
Architect and implement enterprise-grade LLM-powered solutions, managing the full lifecycle from business requirements to production deployment, monitoring, and continuous optimization.

Requirements

What you’ll need

PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 5+ years of relevant experience or MS with at least 8+ years of experience in machine learning and software engineering
6+ 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, Causal Inference, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infra
4+ years of experience building and deploying AI/ML applications including Reinforcement algorithms, Recommendation systems, Generative AI etc. with solid understanding of mathematics, Computer Science, foundation concepts and engineering behind building AI applications and LLMs
Strong problem-solving skills with bias for action

Benefits

Comp & perks

Excellent benefits package that includes 401(K) match
adoption assistance
parental leave
tuition reimbursement
comprehensive medical/ dental/vision
many nonstandard benefits that make us a Great Place to Work
Flexible work options including work from home, on site and hybrid positions
Company provided technology packages for all Team Members
An atmosphere that is collaborative, challenging, and filled with forward thinking Team Members
Extensive growth opportunities as demonstrated by our track record of promoting internally
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 that include 27.5 total days during first full year of employment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learninglarge language modelsgraph neural networksReinforcement LearningRecommendation systemsGenerative AITransformersCausal Inferenceregressions

Soft Skills

problem-solvingcollaborationmentoringexecutioncommunicationstrategic planningprioritizationdeadline managementtechnical expertiseorganizational skills

Certifications

PhD in Computer ScienceMS in relevant technical field