Director, Machine Learning Engineering, Cnn Digital Products & Services

567

Base: $234,500.00 - $435,500.00 py; bonus/equity: ...
Not specified
8+ years building ml systems
5+ years deploying ai/ml in production
Python development experience
Warner Bros. Discovery is seeking a Director of Machine Learning Engineering for CNN Digital Products & Services. The role involves setting the strategic direction for ML and AI applications, leading a team of engineers, and partnering with cross-functional teams to enhance user experiences through advanced technologies

Job Summary

  • The Director will lead the ML and AI team to accelerate CNN's digital transformation through strategic applications of machine learning across content recommendations and ad sales.
  • This role requires combining people leadership with credible technical judgment to build machine learning engineers and set cross-team priorities while staying hands-on with architecture decisions.
  • Candidates must have an advanced degree in a quantitative discipline and a proven track record of leading multi-engineer initiatives with measurable business impact.

Matching Summary

Match Score: 85

Warner Bros. Discovery is seeking a Director of Machine Learning Engineering for CNN Digital Products & Services. The role involves setting the strategic direction for ML and AI applications, leading a team of engineers, and partnering with cross-functional teams to enhance user experiences through advanced technologies.

Salary

Base: $234,500.00 - $435,500.00 per year; Bonus/Equity: Annual bonuses, short- and long-term incentives available; 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 development experience
  • People management for ML engineers
  • Cross-functional technical leadership

Nice-to-have

  • Experience with large-scale consumer internet
  • Familiarity with generative AI guardrails
  • Background in media or news publishing
  • Deep knowledge of A/B testing frameworks
  • Interest in responsible AI practices

Key Requirements

  • Master's or PhD in Computer Science or related field
  • 8+ years professional experience in ML/data science
  • Formal people-management experience or equivalent senior track record
  • Proven ability to deploy complex ML systems in production

Work Rights

Not specified

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