The Walt Disney Company
The Walt Disney Company
The Walt Disney Company este o companie globală de divertisment construită în jurul poveștilor, personajelor și experiențelor oferite vizitatorilor. Operațiunile sale includ parcuri tematice și stațiuni, rețele media, studiouri de film și media interactivă, iar produsele și experiențele sale ajung la public din întreaga lume prin diverse platforme și dispozitive. Înființată în 1923, Disney reunește o forță de muncă internațională numeroasă în domeniile divertismentului, ospitalității, călătoriilor și alimentației și băuturilor, menținând totodată un accent pe confidențialitate, transparență și conformitate în gestionarea datelor consumatorilor.

Machine Learning Engineering Manager, Ad Platforms (Seattle Hybrid)

Lead machine learning and AI engineering teams at The Walt Disney Company. Build scalable advertising models, production ML pipelines, and LLM systems for Disney media platforms.

Descriere

  • Lead and mentor data science, machine learning, and AI engineering teams
  • Design scalable solutions through effective model architectures and algorithm selection
  • Refine systems for clean, scalable, and decoupled implementations
  • Establish standards for model development, code quality, testing, and documentation
  • Set the strategic direction of machine learning initiatives with product and engineering partners
  • Manage the full ML lifecycle from data collection and model development through deployment and modeling
  • Advance innovation by evaluating new machine learning methods, tools, and technologies
  • Present strategies, progress, and outcomes to leadership and cross-functional stakeholders
  • Embed responsible AI principles covering fairness, explainability, privacy, and ethical compliance
  • Build organizational partnerships to surface and prioritize high-impact machine learning opportunities
  • Join on-call rotations supporting ML and AI solutions

Cerințe

  • Bachelor’s or master’s degree in computer science, engineering, mathematics, statistics, or a related discipline
  • At least 8 years of relevant industry experience
  • Two to three years or more in people management or technical leadership
  • Ability to turn business challenges into scalable machine learning and generative AI solutions
  • Strong grounding in machine learning, deep learning, and statistical modeling
  • Experience designing, developing, and deploying production-scale machine learning models and systems
  • Experience operating ML and generative AI systems at scale with cloud platforms and MLOps practices
  • Advanced programming skills in Python, Java, or a comparable language
  • Hands-on experience with frameworks such as TensorFlow, PyTorch, JAX, or Hugging Face
  • Experience building, fine-tuning, evaluating, and deploying LLM applications, including RAG, prompt engineering, and model optimization
  • Demonstrated success leading global teams and working across organizational boundaries
  • Ad technology domain experience is preferred
  • Experience with large-scale data processing and distributed systems is preferred
  • Familiarity with cloud platforms and MLOps pipelines is preferred
  • A record of innovation and contributions to the machine learning or AI community is preferred

Beneficii

  • Medical, financial, and other benefits may be available
  • Bonus and/or long-term incentive units may be offered
  • Primarily on-site work with occasional work from home

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