Staff Data Scientist

Warner Bros Discovery Warner Bros Discovery · Media · Bangalore, Karnātaka, India · Technology

Staff Data Scientist at Warner Bros. Discovery focused on designing and delivering production-grade Gen AI based Media processing systems for language localization (Closed Captioning, Translation, Dubbing). The role involves leading end-to-end ML system design, experimentation, establishing evaluation frameworks, and mentoring a team. Requires 5+ years of experience building production ML solutions and practical knowledge of the ML lifecycle.

What you'd actually do

  1. Lead end-to-end design and delivery of production-grade Gen AI based Media processing systems that supports language localization capabilities like Closed Captioning, Language translation, or Dubbing.
  2. Lead data science experimentation by designing experiments, defining success metrics, iterating on model improvements, and transitioning validated approaches into scalable production ML pipelines.
  3. Establish and operate robust production evaluation frameworks, covering model quality, drift detection, inference performance, and system-level metrics with and without ground truth.
  4. Lead, mentor, and grow a team of Applied data scientist, Machine Learning Engineers, setting clear technical direction, delivery standards, and career development paths.
  5. Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

Skills

Required

  • 5+ years total experience of building production grade machine learning solutions
  • Experience in designing machine learning driven, large-scale distributed systems with large scale customer base
  • Good practical knowledge in modern machine learning lifecycle.
  • Ability to technically collaborate with partners
  • Good understanding of machine learning platform

Nice to have

  • PhD, or Master's degree in CS, CE, ML or related fields.
  • 3+ hands-on experience in any one of following fields: Computer Vision, ASR, Translation or Text-to-Speech technologies.
  • Working experience with global teams
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals

What the JD emphasized

  • production-grade Gen AI based Media processing systems
  • production ML pipelines
  • production evaluation frameworks
  • building production grade machine learning solutions
  • machine learning driven, large-scale distributed systems

Other signals

  • Gen AI
  • media intelligence
  • localization
  • production-grade ML systems
  • evaluation frameworks