Warner Bros. Discovery

Staff Machine Learning Engineer

Warner Bros. Discovery

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, New York, Washington

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Salary

💰 $145,600 - $270,400 per year

Job Level

Lead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformJavaJenkinsPython

About the role

  • Build and scale a recommendation system that powers a state of the art search & personalization experience to users across Max, HBO, Discovery+ and other WBD offerings
  • Collaborate with other ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale
  • Collaborate with data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion
  • Use and build upon open-source cloud computing technologies
  • Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team
  • Mentor, influence engineers across organizations and lead by example with high quality examples of your work at the organization level
  • 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

Requirements

  • 8+ years of industry experience
  • Deep practical knowledge of ML systems, with information retrieval and ranking algorithms
  • experience with NLP techniques is a plus
  • Knowledge of large-scale distributed application architecture, design, implementation and performance tuning
  • Good practical knowledge in modern machine learning lifecycle
  • 8+ years of programming experience using Python/Java
  • Ability to rapidly prototype ideas and refine towards production
  • Ability to drive roadmap and directions of scalable production quality systems end-to-end
  • Excellent written and verbal communications skills
  • Advanced degree (M.S., or Ph.D.), or equivalent industry experience in software engineering, computer science, machine learning or related fields
  • Experience with one of the cloud platforms AWS/GCP/Azure
  • Experience with CI/CD tools like GitHub Actions, Jenkins etc