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Cengage Group

AI/ML Engineer

Cengage Group

AI/ML Engineer developing AI-driven systems for skills and workforce learning at Cengage. Involves building models for competency verification and skills recommendation.

Posted 5/2/2026full-timeIllinois • Illinois • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop skills inference models that extract competencies from content, assessments, and learner activity
  • Build skills verification models powering the Skills Verification platform
  • Create skills-based matching and recommendation systems for jobs, courses, and learning paths
  • Develop career pathway recommendation and skills gap analysis features
  • Integrate AI into Cengage workforce platforms including Infosec Skills and IQ Platform
  • Enable skills-based matching and recommendations across Cengage's workforce ecosystem
  • Partner with platform engineering on API design, scaling, and production deployment
  • Align to the NICE Framework and other recognized skills taxonomies where applicable
  • Build evaluation and monitoring systems to measure and improve model accuracy and performance
  • Track skills verification accuracy, recommendation quality, and adoption of AI-driven career tools

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 4+ years of experience in software engineering, with at least 2 years focused on AI/ML
  • Strong proficiency in Python with experience building production ML systems
  • Hands-on experience with modern ML techniques including embeddings, ranking, and LLMs
  • Experience with recommendation systems, matching, or representation learning
  • Solid software engineering fundamentals including testing, CI/CD, and system design
  • Experience with offline and online model evaluation

Benefits

Comp & perks
  • Opportunity to shape AI at scale across a global learning company
  • Direct impact on business outcomes, product, and workforce productivity
  • Access to cutting-edge AI tools, platforms, and technologies
  • Collaborative team environment focused on innovation and continuous improvement
  • Competitive compensation and comprehensive benefits
  • Professional development and learning opportunities
  • Flexible work arrangements with remote/hybrid options

ATS Keywords

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Hard Skills & Tools
PythonAIMLrecommendation systemsmatchingembeddingsrankingLLMsCI/CDsystem design
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineering