Senior Machine Learning Engineer

Warner Bros Discovery Warner Bros Discovery · Media · New York, NY +1 · Technology

Senior Machine Learning Engineer at Warner Bros. Discovery focused on developing and deploying ML solutions for consumer growth, including fraud detection, pricing optimization, and user behavior modeling. The role requires a blend of research, mathematical rigor, and production engineering, with responsibilities spanning end-to-end ML pipelines, model development, cross-functional collaboration, mentorship, and research innovation. Requires PhD/MS and 3-5+ years of experience, proficiency in Python, ML frameworks, SQL, and a proven track record of deploying models to production.

What you'd actually do

  1. Build complete ML pipelines from data processing to model deployment and monitoring in production environments
  2. Design and implement machine learning models for growth applications, from classical algorithms to deep learning approaches
  3. Work closely with product, engineering, and senior researchers to translate requirements into effective ML solutions
  4. Guide junior data scientists and contribute to team knowledge sharing
  5. Stay current with ML research and explore new methodologies relevant to consumer growth challenges

Skills

Required

  • Python
  • ML frameworks (PyTorch, TensorFlow, Scikit-learn, XGBoost)
  • SQL
  • large-scale data processing
  • deploying ML models to production

Nice to have

  • consumer-facing applications (growth, fraud, personalization)
  • distributed computing systems (Spark, Ray)
  • Publications in ML conferences
  • contributions to open-source projects

What the JD emphasized

  • production-grade engineering practices
  • Proven track record deploying ML models to production

Other signals

  • develop and deploy machine learning solutions
  • build scalable ML systems
  • production-grade engineering practices
  • End-to-End Delivery
  • model deployment and monitoring