Warner Bros. Discovery

Manager, Machine Learning Engineering

Warner Bros. Discovery

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $145,600 - $270,400 per year

Job Level

SeniorLead

Tech Stack

JavaPython

About the role

  • Support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives
  • Work in a team of machine engineers and applied researchers contributing to a system that serves 100+ million users worldwide
  • Architect and develop robust engineering solutions that utilize machine learning models and algorithms to support personalization's
  • Manage project priorities and ensure timely delivery
  • Build and lead a world-class team of machine learning and full stack engineers
  • Be a hands-on leader and mentor the team in the latest machine learning technologies and processes
  • Partner closely with business and data science leadership for opportunity sizing and prioritizing product capabilities
  • Partner closely with platform and infra teams to build robust fault tolerant solutions and accelerate the learning cycle
  • Partner closely with downstream application teams to develop a flexible and resilient interface between ML products and downstream applications
  • Partner closely with the ML Platform team to build flexible and resilient interfaces for training, serving and feature needs for personalization products
  • Develop ML Systems roadmap in partnership with Data Science teams, and educate both internal and external stakeholders at all levels to drive resourcing and implementation
  • Develop and evangelize engineering best practices for scoping, building, validating, deploying, and monitoring ML/AI products

Requirements

  • Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Masters degree or higher preferred)
  • 8+ years of work experience in developing engineering solutions for Machine Learning and Data Science applications with a proven track record to drive innovation and business impacts
  • 2+ years leading and growing high performance engineering teams
  • Familiarity with the practical aspects of machine learning is required
  • Proficient in both Python and OOP languages including GoLang, Java or C++
  • Experience with Agile methodologies preferred
  • Experience in deploying complex and large scale machine learning algorithms and advanced modeling solutions
  • Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
  • Strong communication skills and the ability to explain complex engineering systems to non-technical audience
  • Works effectively with cross functional teams to build trusted partnership
  • Experience with recommender/search/ad serving algorithms and systems is a plus
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