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Principal Machine Learning Engineer, AI Architecture - Ad Platforms

Company: The Walt Disney Company (France)
Location: Santa Monica
Posted on: May 3, 2025

Job Description:

Disney Entertainment & ESPN Technology
At Disney Entertainment & ESPN Technology, we are reimagining how to create magical viewing experiences and transforming Disney's media business for the future. Our work involves evolving streaming and digital products, powering advertising and distribution, and delivering Disney's entertainment and sports content, impacting partners and audiences worldwide.
Our Focus Areas:


  • Building the future of Disney's media business: Designing and building infrastructure for Disney's media, advertising, and distribution.
  • Reach & Scale: Supporting platforms like Disney+, Hulu, ABC News, ESPN, and more, reaching millions daily.
  • Innovation: Creating groundbreaking products and techniques to shape industry standards and enhance audience experiences.

    The Ad Platforms Team develops and operates technology supporting Disney's global advertising business across streaming and linear channels. Their work includes infrastructure development for Disney's ad server and reimagining viewer-first ad experiences, forming the backbone of Disney's ad and streaming future.
    Responsibilities and Duties:

    • Collaborate with business teams, data scientists, and engineers to understand objectives and define technical requirements.
    • Architect Generative AI solutions using techniques like retrieval augmented generation and transformer architectures for large-scale applications.
    • Develop and implement descriptive, diagnostic, predictive, and prescriptive algorithms with models such as OpenAI GPT 3.5/4.0, Anthropic Claude, Google Palm2, Amazon Nova, Meta Llama2/3.
    • Utilize frameworks like LangChain and Llama Index for efficient language model retrieval and chaining.
    • Select suitable AI technologies, tools, and frameworks to meet performance and scalability needs.
    • Oversee fine-tuning and deployment of Large Language Models, ensuring best practices.
    • Build and maintain Generative AI workflows, including data preprocessing, model training, and feedback loops.
    • Evaluate AI systems for performance, scalability, and efficiency.
    • Conduct code reviews and mentor team members.
    • Stay updated on Generative AI advancements and identify organizational opportunities.
    • Coordinate with infrastructure teams for deployment and monitoring.
    • Document design choices and technical specifications.
    • Work with research and engineering teams to design deep learning architectures leveraging TensorFlow, PyTorch, and XGBoost.

      Required Education, Experience, Skills, and Training:

      • Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field.
      • Minimum of 10 years in AI, machine learning, or data science.
      • Experience with Generative AI architectures and frameworks such as retrieval augmented generation, vectorization, embeddings, and multi-agent solutions.
      • Hands-on experience with Large Language Models like GPT, Palm2, Nova, etc.
      • Experience in AI solution deployment and monitoring on cloud platforms like AWS.
      • Strong problem-solving, analytical, and communication skills.
      • Knowledge of latest AI advancements, ethical AI practices, and ability to explain complex concepts to diverse audiences.
      • Expertise in deep learning models and traditional machine learning algorithms, with proficiency in TensorFlow, PyTorch, and XGBoost.

        Preferred Qualifications:

        • Experience in AI-driven ad industry solutions, including video generation, CTR prediction, user segmentation, and inventory forecasting.

          The salary range in Los Angeles, CA is $202,900 - $272,100, and in Seattle, WA is $212,600 - $285,100. Compensation includes base salary, bonus, incentives, and benefits, with actual offers depending on experience, location, and other factors.
          #J-18808-Ljbffr

Keywords: The Walt Disney Company (France), Lake Forest , Principal Machine Learning Engineer, AI Architecture - Ad Platforms, Engineering , Santa Monica, California

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