Manager, Machine Learning Engineering

Warner Bros. Discovery

Multiple Locations, US
Base: $145,600.00 - $270,400.00 py; bonus/equity: ...
Not specified (assumed hybrid/onsite based on industry standards).
8+ years ml engineering experience
2+ years leading high performance teams
Proficient in python, golang, java or c++
Warner Bros. Discovery is seeking a Manager of Machine Learning Engineering to lead efforts in building and scaling personalization and search platforms for their streaming app, Max. The ideal candidate will have extensive experience in machine learning, team leadership, and a passion for delivering innovative solutions in a fast-paced environment

Job Summary

  • This role involves architecting robust engineering solutions utilizing machine learning models to support personalization for the global streaming app Max.
  • The successful candidate will build and lead a world-class team of machine learning and full stack engineers while mentoring them in latest technologies.
  • Warner Bros. Discovery offers career-defining opportunities with thoughtfully curated benefits including health insurance, retirement savings plans, and paid time off.

Matching Summary

Match Score: 85

Warner Bros. Discovery is seeking a Manager of Machine Learning Engineering to lead efforts in building and scaling personalization and search platforms for their streaming app, Max. The ideal candidate will have extensive experience in machine learning, team leadership, and a passion for delivering innovative solutions in a fast-paced environment.

Salary

Base: $145,600.00 - $270,400.00 per year; Bonus/Equity: Annual bonuses, short- and long-term incentives available; Benefits: Health insurance, wellness program, life/disability insurance, retirement plan, paid holidays/sick/vacation

Skills & Requirements

Must-have

  • 8+ years ML engineering experience
  • 2+ years leading high performance teams
  • Proficient in Python, GoLang, Java or C++
  • Experience deploying large scale ML algorithms
  • Strong background in recommender/search systems

Nice-to-have

  • Agile methodology experience
  • Fast-paced high-energy environment adaptability
  • Ability to explain complex systems to non-technical audiences
  • Cross-functional partnership skills
  • Passion for customer obsession

Key Requirements

  • Masters degree or higher preferred in CS or Engineering
  • 8+ years work experience in ML/Data Science applications
  • 2+ years leading and growing high performance engineering teams

Work Rights

Not specified

Tailored Resume

Cover Letter