Senior Machine Learning Engineer

Warner Bros. Discovery

Multiple Locations, US
Base: $132,300.00 - $245,700.00 py; bonus/equity: ...
Not specified (assumed hybrid).
Python and ml frameworks proficiency
Production model deployment experience
Sql and large-scale data processing
Warner Bros. Discovery is seeking a Senior Machine Learning Engineer to lead the development of scalable ML solutions for its Audience Intelligence team. The ideal candidate will have extensive experience in machine learning engineering, with a focus on model development, deployment, and cross-functional collaboration

Job Summary

  • This role involves leading the development of scalable machine learning solutions for audience intelligence applications at Warner Bros. Discovery.
  • Candidates will mentor junior engineers and collaborate cross-functionally to advance ML capabilities through innovation and thought leadership.
  • The position offers a competitive salary range of $132,300 to $245,700 along with comprehensive benefits including health insurance and retirement plans.

Matching Summary

Match Score: 85

Warner Bros. Discovery is seeking a Senior Machine Learning Engineer to lead the development of scalable ML solutions for its Audience Intelligence team. The ideal candidate will have extensive experience in machine learning engineering, with a focus on model development, deployment, and cross-functional collaboration.

Salary

Base: $132,300.00 - $245,700.00 per year; Bonus/Equity: Annual bonuses, short- and long-term incentives available; Benefits: Health insurance, wellness program, life insurance, retirement savings plan, paid time off

Skills & Requirements

Must-have

  • Python and ML frameworks proficiency
  • Production model deployment experience
  • SQL and large-scale data processing
  • Distributed computing systems expertise
  • Cloud platform knowledge AWS Databricks
  • MLOps infrastructure and automation skills

Nice-to-have

  • Experience in AI advertising solutions
  • Publications in top tier ML conferences
  • Open-source project contributions
  • CI/CD and DevOps principles familiarity
  • Marketing sciences background

Key Requirements

  • PhD or MSc in Machine Learning or related field
  • 3+ years of hands-on machine learning engineering experience
  • Proven track record of deploying ML models to production

Work Rights

Not specified

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