Director, Machine Learning Engineering, Cnn Digital Products & Services

Warner Bros. Discovery UK

Base: $234,500.00 - $435,500.00 py; bonus/equity: ...
Not specified in the job posting.
8+ years building ml systems
5+ years deploying ai/ml in production
Python programming expertise
The Director of Machine Learning Engineering at Warner Bros. Discovery will lead the ML & AI team at CNN, driving digital transformation initiatives and overseeing the application of machine learning technologies. This role focuses on developing innovative ML solutions, ensuring system performance, and collaborating across teams to enhance user experiences

Job Summary

  • The Director will lead the technical and people agenda for CNN's ML and AI team, driving digital transformation through strategic applications of technology.
  • Candidates must have a proven track record of leading multi-engineer initiatives and setting technical direction for complex ML systems.
  • 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: 85

The Director of Machine Learning Engineering at Warner Bros. Discovery will lead the ML & AI team at CNN, driving digital transformation initiatives and overseeing the application of machine learning technologies. This role focuses on developing innovative ML solutions, ensuring system performance, and collaborating across teams to enhance user experiences.

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 programming expertise
  • Multi-engineer team leadership
  • Full lifecycle ML system management
  • Cross-functional product partnership

Nice-to-have

  • Experience with large-scale consumer internet
  • Familiarity with recommendation algorithms
  • Interest in media and news publishing
  • Knowledge of responsible AI practices
  • Exposure to generative AI guardrails
  • Agile delivery practice experience

Key Requirements

  • Master's or PhD in quantitative discipline
  • 8+ years professional ML experience
  • Formal people-management experience preferred
  • PhD holders may qualify with 6+ years post-degree

Work Rights

Not specified

Tailored Resume

Cover Letter