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The Walt Disney Company
The Walt Disney Company
H1B Visa SponsorFood & BeverageHospitalityTravel
The Walt Disney Company is a global entertainment business built around storytelling, characters, and guest experiences. Its operations span theme parks and resorts, media networks, film studios, and interactive media, with products and experiences reaching audiences across platforms and devices worldwide. Founded in 1923, Disney brings together a large international workforce across entertainment, hospitality, travel, and food and beverage, while maintaining a focus on privacy, transparency, and compliance in its handling of consumer data.
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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.

USUnited StatesCACaliforniaWAWashington
$171,600 – $241,000 / year
HybridFull-timeSeniorLeadEnglish RequiredMachine Learning Engineer
CloudDistributed SystemsJavaPythonPyTorchTensorflow

Description

  • 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

Requirements

  • 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

Benefits

  • 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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