Director, Machine Learning Engineering

Credit Acceptance Corporation

Southfield, Michigan, US
Base: $205,561 – $301,490; bonus/equity: 20-60%; b...
Remote
Ai/ml solutions roadmap
Ml/llm ops
Responsible ai practices
This senior technology leader is responsible for defining and driving the enterprise strategy across AI, Machine Learning, and Generative AI, owning the long term roadmap for AI/ML solutions, platforms, models, and engineering capabilities

Job Summary

  • This senior technology leader is responsible for defining and driving the enterprise strategy across AI, Machine Learning, and Generative AI, owning the long term roadmap for AI/ML solutions, platforms, models, and engineering capabilities.
  • The Director will lead a high-performing organization across data science, machine learning engineering, or GenAI/platform engineering, ensuring scalable, secure, and innovative solutions that deliver measurable business impact.
  • The role requires a PhD in Computer Science, Statistics or related field with 10+ years in Machine Learning engineering, or MS with 12+ years of experience, including a minimum of 5 years in senior leadership roles managing managers and large engineering teams.

Matching Summary

This senior technology leader is responsible for defining and driving the enterprise strategy across AI, Machine Learning, and Generative AI, owning the long term roadmap for AI/ML solutions, platforms, models, and engineering capabilities.

Salary

Base: $205,561 – $301,490; Bonus/Equity: 20-60%; Benefits: Excellent benefits package

Skills & Requirements

Must-have

  • AI/ML solutions roadmap
  • ML/LLM Ops
  • responsible AI practices
  • production-grade ML systems
  • ML lifecycle tools

Nice-to-have

  • customer empathy
  • engineering excellence
  • one team mindset
  • owner's mindset

Key Requirements

  • PhD in Computer Science, Statistics and related field with 10+ years in Machine Learning engineering (preferred); or MS with 12+ years of experience
  • Minimum 5 years in senior leadership roles managing managers and large engineering teams
  • Proven track record in building production-grade ML systems
  • Hands-on experience building different types of models
  • Deep knowledge of ML lifecycle tools, distributed systems, and cloud-native architectures

Work Rights

Not specified

Tailored Resume

Cover Letter