Credit Acceptance

ML/AI Intern

Credit Acceptance

internship

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $23 per hour

Job Level

About the role

  • Assist in identifying and building solutions for various GenAI problems
  • Support the end-to-end lifecycle of ML and AI projects, from scoping and adaptation to application integration, monitoring, and performance management
  • Aid in the investigation of ML and AI methodologies, including deep learning, LLM, and graph NN, to address diverse challenges across different business verticals and customers
  • Help build and deploy contextual Chatbots and analytical tools to provide bespoke responses to internal and external customers across different platforms
  • Participate in the development and fine-tuning of LLM models trained on internal multi-modal data (e.g., documents, policies, PDFs, graphs, text) for new problem sets
  • Collaborate with team members to foster a culture of widespread ML utilization

Requirements

  • Currently pursuing a graduate level degree in Computer Science, Statistics, Economics, or a relevant technical field
  • Strong understanding of machine learning concepts and techniques
  • Hands-on experience with deep learning models, reinforcement algorithms, or recommendation systems
  • Eagerness to learn and apply new skills in a practical setting
  • Strong problem-solving skills and a proactive mindset
  • Preferred: Currently pursuing a master’s or PhD degree
  • Well awareness and experience of using techniques across LLM models, data mining, NLP, or computer vision through coursework or personal projects
  • Knowledge of basic programming languages (e.g., Python) and machine learning libraries (e.g., TensorFlow, PyTorch)
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdeep learningreinforcement algorithmsrecommendation systemsLLM modelsdata miningNLPcomputer visionPythonTensorFlow
Soft Skills
problem-solvingproactive mindseteagerness to learncollaboration
Certifications
graduate degreemaster’s degreePhD