Manager, Machine Learning Engineer

Warner Bros. Discovery

**
12-15 years total experience
3+ years leading software development team
Design large-scale distributed ml systems
** Warner Bros. Discovery is seeking a Manager for their Machine Learning Engineering team, responsible for leading a group of engineers to design, deploy, and manage large-scale machine learning systems for media localization. The ideal candidate will have extensive experience in machine learning, team leadership, and cloud platforms, as well as a passion for innovation and customer advocacy. **

Job Summary

  • The role involves leading a team responsible for building production-grade Gen AI systems that power media localization capabilities like language translation and dubbing.
  • Candidates must have extensive experience designing large-scale distributed systems with a significant customer base and managing the full machine learning lifecycle.
  • Warner Bros. Discovery offers career-defining opportunities, thoughtfully curated benefits, and a culture that supports and celebrates diverse perspectives.

Matching Summary

Match Score: 75

** Warner Bros. Discovery is seeking a Manager for their Machine Learning Engineering team, responsible for leading a group of engineers to design, deploy, and manage large-scale machine learning systems for media localization. The ideal candidate will have extensive experience in machine learning, team leadership, and cloud platforms, as well as a passion for innovation and customer advocacy. **

Skills & Requirements

Must-have

  • 12-15 years total experience
  • 3+ years leading software development team
  • Design large-scale distributed ML systems
  • Cloud platform experience AWS GCP Azure
  • Production ML lifecycle management

Nice-to-have

  • Computer Vision ASR or Text-to-Speech
  • Global team collaboration experience
  • Data modeling experience
  • Advocate for customer-centric innovation

Key Requirements

  • 12-15 years total professional experience
  • 3+ years in people leadership and management
  • Hands-on technical depth in ML engineering
  • Experience with cloud platforms (AWS/GCP/Azure)

Work Rights

Not specified

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