Director, Machine Learning Engineering, Cnn Digital Products & Services

Cable News Network Inc

Base: $234,500.00 - $435,500.00 py; bonus/equity: ...
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8+ years building ml systems
5+ years deploying ai/ml in production
Python programming expertise
** The Director of Machine Learning Engineering at CNN will lead the technical and personnel agenda for ML and AI across CNN's digital products, ensuring innovative and effective solutions for a global audience. The ideal candidate should possess extensive experience in machine learning systems, be an inspiring leader, and have strong communication skills to collaborate effectively with cross-functional teams. **

Job Summary

  • The role involves leading the technical and people agenda for CNN's ML and AI team to accelerate digital transformation across web and mobile apps.
  • Candidates must combine people leadership with credible technical judgment to build machine learning engineers and arbitrate architecture decisions.
  • Warner Bros. Discovery offers a total compensation package including base pay ranging from $234,500 to $435,500, annual bonuses, and comprehensive benefits.

Matching Summary

Match Score: 75

** The Director of Machine Learning Engineering at CNN will lead the technical and personnel agenda for ML and AI across CNN's digital products, ensuring innovative and effective solutions for a global audience. The ideal candidate should possess extensive experience in machine learning systems, be an inspiring leader, and have strong communication skills to collaborate effectively with cross-functional teams. **

Salary

Base: $234,500.00 - $435,500.00 per year; Bonus/Equity: Annual bonuses, short- and long-term incentives included; Benefits: Health insurance, wellness program, life/disability insurance, retirement plan, paid time off

Skills & Requirements

Must-have

  • 8+ years building ML systems
  • 5+ years deploying AI/ML in production
  • Python programming expertise
  • People management of ML engineers
  • Experience with large-scale consumer internet
  • Full lifecycle ML system development

Nice-to-have

  • PhD in Computer Science or related field
  • Experience with generative AI guardrails
  • Background in media or publishing industry
  • Familiarity with feature stores and embedding infrastructure
  • Deep knowledge of A/B testing methodologies
  • Interest in responsible AI practices

Key Requirements

  • Master's or PhD in quantitative discipline
  • 8+ years professional experience in ML/data science
  • Formal people-management experience preferred
  • Proven track record of product impact

Work Rights

Not specified

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