Ai/ml Engineer - Work

Cengage

Base: $150,000.00 - $200,000.00 usd; bonus: 10% an...
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Python proficiency with production ml systems
Experience with embeddings ranking and llms
Background in recommendation or matching systems
** Cengage is seeking an AI/ML Engineer to develop AI-driven workforce and skills-based capabilities for their career and learning products. The ideal candidate will have experience in AI/ML, particularly in building production models for skills matching and recommendations. **

Job Summary

  • This role builds AI-driven workforce and skills-based capabilities to infer competencies and power skills-based matching for Cengage's learning products.
  • The ideal candidate will develop skills inference models, verification systems, and career pathway recommendations that meaningfully improve learner outcomes.
  • Cengage offers competitive compensation, flexible work arrangements, and access to cutting-edge AI tools within a collaborative team environment focused on innovation.

Matching Summary

Match Score: 75

** Cengage is seeking an AI/ML Engineer to develop AI-driven workforce and skills-based capabilities for their career and learning products. The ideal candidate will have experience in AI/ML, particularly in building production models for skills matching and recommendations. **

Salary

Base: $150,000.00 - $200,000.00 USD; Bonus: 10% Annual Target; Benefits: Comprehensive Total Rewards package including discretionary incentive bonus

Skills & Requirements

Must-have

  • Python proficiency with production ML systems
  • Experience with embeddings ranking and LLMs
  • Background in recommendation or matching systems
  • Solid software engineering fundamentals testing CI/CD
  • Experience with offline and online model evaluation

Nice-to-have

  • Prior experience in workforce tech or HR tech
  • Familiarity with NICE Framework O*NET ESCO taxonomies
  • Experience with agentic AI frameworks like LangChain
  • Background in cybersecurity education domains
  • Knowledge of behavioral pattern analysis

Key Requirements

  • Bachelor's degree in Computer Science Engineering or related field
  • 4+ years of software engineering experience
  • At least 2 years focused on AI/ML
  • Strong proficiency in Python
  • Hands-on experience with modern ML techniques

Work Rights

Not specified

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