Warnerbros

Warnerbros

Senior Machine Learning Engineer

NY New York 230 Park Avenue South · Senior

Sponsorship not specified$159k-$296kDetected 6 days ago
PythonAlgorithmsSQLMachine LearningDeep LearningTensorFlowPyTorchscikit-learnSparkData ScienceAccessibilityResearchLeadershipCommunicationCollaborationMentoring

About the role

  • This role requires a blend of strong research skills, mathematical rigor, and production-grade engineering practices.

Responsibilities

  • End-to-End Delivery: Build complete ML pipelines from data processing to model deployment and monitoring in production environments

Requirements

  • Ability to clearly articulate ML concepts to diverse stakeholders

Nice to have

  • Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done.
  • You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day.
  • We hope they resonate with you and look forward to discussing them during your interview.
  • Championing Inclusion at WBD
  • Base pay is just one component of Warner Bros.

Skills

  • Proficient in Python and ML frameworks ( PyTorch, TensorFlow, Scikit-learn, XGBoost )
  • Experience with SQL and large-scale data processing
  • Proven track record deploying ML models to production
  • Mindset: Strong desire to learn new techniques and adapt to evolving business needs
  • Communication: Ability to clearly articulate ML concepts to diverse stakeholders
  • Experience in consumer-facing applications (growth, fraud, personalization)
  • Familiarity with distributed computing systems (Spark, Ray)
  • Publications in ML conferences or contributions to open-source projects
  • How We Get Things Done…
  • This last bit is probably the most important!

Compensation

  • $159,180.00 - $295,620.00 salary per year.
  • Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards.

Benefits

  • ML Development: Design and implement machine learning models for growth applications, from classical algorithms to deep learning approaches
  • Education: PhD/MS in Machine Learning, Data Science, or closely related field

Visa & Work Authorization

  • rientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law
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This listing is sourced directly from Warnerbros's careers page and normalized into a canonical job model.