Lead AI/Machine Learning Engineer - Decision Science

The Walt Disney Company-posted 3 months ago
$171,600 - $230,100/Yr
Full-time • Senior
Burbank, CA
5,001-10,000 employees
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The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The Lead AI/Machine Learning Engineer will own the design, oversee the development, and operational excellence of decision science models (i.e., custom algorithms leveraging machine learning, AI, optimization, stochastics, etc.) in production services, ensuring they are highly available, performant, and scalable to meet the demands of the system. This role requires strong expertise in object-oriented programming (particularly in Python), passion for system design, solution documentation, and the development of reusable capabilities that allow other developers to deploy systems faster. They will combine hands-on coding with technical leadership to assist projects in meeting deadlines and technical goals.

  • Lead the design, construction and maintenance of optimized, efficient and reliable decision science pipelines, processes, and tools around AI/ML, mathematical, statistical, and simulation models.
  • Provide technical leadership through architectural direction, design reviews, and thoughtful decision-making to drive long-term platform health.
  • Mentor colleagues on building configurable, modular, and scalable solutions.
  • Present designs and benefits of created tools to the decision science team, leaders, and partners.
  • Lead and drive vision for new tools and reusable decision science capabilities and services.
  • Drive and maintain a culture of quality, innovation, and experimentation.
  • Collaborate closely with product managers, data scientists, client teams, vendors, and other partners to define and generate systems requirements.
  • Proactively troubleshoot and resolve complex CI/CD or integration issues.
  • Establish and enforce engineering best practices and operational standards.
  • Contribute to the broader Disney technical community through knowledge sharing, presentations, and cross-team collaboration initiatives.
  • 7+ years of demonstrated ability to drive complex technical projects from ideation through delivery.
  • Ability to provide peer leadership to junior colleagues.
  • Must exhibit proficiency in Python, particularly in object-oriented programming, exception handling, unit testing, model pipelines, and developing custom scikit-learn estimators.
  • Experience and familiarity with AI/ML, mathematical, deep learning, and neural network models.
  • Experience with traditional ML algorithms and statistical modeling techniques.
  • Proficiency in prompt engineering techniques and approaches.
  • Knowledge of multiple database and distributed computing architectures/technologies.
  • Proficiency with modern development tooling, including Git, CI/CD pipelines, containerization, and cloud platforms such as AWS.
  • Strong understanding of software development methodologies and tools including Agile, Git, CICD, MLOps/DevOps.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.
  • Demonstrated ability to partner effectively with a diverse set of clients and partners.
  • Passionate about invisible excellence – making everything 'just work' for other teams.
  • Strong focus on innovation and continuous improvement.
  • Demonstrated ability to develop and mentor team members.
  • Deep understanding of advanced AI technologies / methodologies.
  • Experience and familiarity with foundational OSS LLMs.
  • Knowledge of different GenAI techniques.
  • Competency in data science topics such as statistics, optimization, machine learning / artificial intelligence, and/or econometrics.
  • Familiarity with optimization software.
  • Experience in Domino Data Labs AI Platform and code generation assistance tools.
  • Familiarity with Disney business domain knowledge.
  • Medical, financial, and/or other benefits depending on the level and position offered.
  • Bonus and/or long-term incentive units may be provided as part of the compensation package.
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