Director, Machine Learning Engineering
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 technology and entertainment, supporting streaming services like Disney+ and Hulu.
The position involves leading a high-performing team that enables Data Scientists to build, deploy, and scale machine learning solutions across various use cases including personalization, forecasting, marketing, content segmentation, and fraud prevention. These solutions directly impact millions of consumers and generate significant revenue for Disney.
As Director, you'll be responsible for developing AutoML capabilities, maintaining Feature Mart, enabling end-to-end ML Ops workflows, and implementing robust model monitoring systems. The role requires deep expertise in machine learning operations, with a focus on building scalable, production-grade systems that can handle enterprise-level demands.
The ideal candidate brings 12+ years of experience, with at least 5 years leading ML engineering teams. You'll need strong technical skills in ML Ops and AutoML, combined with business acumen to translate technical capabilities into business impact. Experience with Generative AI and emerging technologies is crucial as Disney stays at the forefront of applied machine learning.
This is an excellent opportunity for a technical leader who can balance hands-on platform development with strategic leadership. You'll work closely with Data Science, Engineering, Product, and other departments, making this role perfect for someone who excels at cross-functional collaboration and technical leadership.
The position offers competitive compensation ranging from $223,700 to $328,600 depending on location and experience, with additional benefits and bonus potential. Based in major tech hubs (New York, San Francisco, or Santa Monica), this role offers the chance to shape the future of entertainment technology at one of the world's most renowned companies.
Responsibilities For Director, Machine Learning Engineering
- Lead development of 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 ML engineers and managers
- Partner with senior leaders across departments
- Ensure scalability and integration with enterprise systems
- Lead ML Ops and deployment infrastructure
Requirements For Director, Machine Learning Engineering
- 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
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