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Director, Machine Learning Engineering

Disney Direct to Consumer (DTC) includes premium streaming services with Hulu and Disney+, offering premium originals, TV shows, movies, and live television.
$223,700 - $328,600
Machine Learning
Principal Software Engineer
Hybrid
5,000+ Employees
12+ years of experience
AI · Enterprise SaaS · Consumer

Description For Director, Machine Learning Engineering

Disney Direct to Consumer (DTC) is seeking a Director of Machine Learning Engineering to lead their ML platform development and operations. This role sits at the intersection of cutting-edge AI technology and entertainment, working with premium streaming services including Hulu and Disney+. The position offers an opportunity to impact millions of consumers through ML solutions across personalization, forecasting, marketing, and content optimization.

The role involves leading a high-performing team that builds and maintains Disney's unified ML platform, developing AutoML capabilities, and implementing robust model monitoring systems. You'll be working with state-of-the-art technologies, including Generative AI, and collaborating with cross-functional teams to drive innovation in applied machine learning.

The position offers competitive compensation ranging from $223,700 to $328,600 depending on location and experience, plus additional benefits including bonuses and long-term incentives. This is a hybrid role available in major tech hubs including New York, San Francisco, and Santa Monica, allowing for both collaborative office work and flexible remote options.

The ideal candidate will bring 12+ years of relevant experience, strong leadership capabilities, and deep expertise in ML operations and platform development. You'll be responsible for driving technical excellence while fostering an inclusive culture focused on innovation and delivery. This role offers the unique opportunity to shape the future of entertainment technology while working with one of the world's most respected media and entertainment companies.

If you're passionate about scaling ML operations, leading technical teams, and driving innovation in a company that reaches millions of consumers, this role offers an exceptional opportunity to make a significant impact while working with cutting-edge technology in the entertainment industry.

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Responsibilities For Director, Machine Learning Engineering

  • Lead the development of a standardized, reusable ML platform (AutoML)
  • Drive implementation of robust deployment pipelines and CI/CD systems
  • Establish systems for automated monitoring, drift detection, and performance evaluation
  • Stay current with ML technologies including Generative AI and LLMOps
  • Hire, mentor, and manage a team of ML engineers and managers
  • Partner with senior leaders across Data Science, Engineering, Product, Legal, and Governance
  • Lead development of Feature Mart and ML Ops workflows

Requirements For Director, Machine Learning Engineering

Python
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
  • 12+ years of relevant experience
  • Strong foundation in applied data science
  • Experience with Generative AI
  • 5+ years leading DS/ML engineering or ML platform teams
  • Expertise in ML Ops, AutoML, and productionizing machine learning at scale
  • Familiarity with data ecosystems (e.g., SnowFlake, DataBricks)
  • Strong communication and stakeholder management skills
  • Experience with privacy, compliance, and governance in ML workflows

Benefits For Director, Machine Learning Engineering

Equity
Medical Insurance
  • Bonus potential
  • Long-term incentive units
  • Full range of medical benefits
  • Financial benefits

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