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 leads 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 optimization, 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 technical expertise in machine learning operations, platform development, and emerging technologies like Generative AI, combined with strong leadership abilities to manage and mentor engineering teams.
The ideal candidate brings 12+ years of relevant experience, with at least 5 years leading ML engineering teams. They should have a strong foundation in applied data science, expertise in ML Ops and AutoML, and experience with modern data ecosystems. The role offers competitive compensation ranging from $223,700 to $328,600 depending on location and experience.
This is an exciting opportunity to shape the future of streaming entertainment through machine learning, working with cutting-edge technologies while leading a team at one of the world's most renowned entertainment companies. The position offers exposure to diverse technical challenges, from platform development to emerging AI technologies, while driving decisions that impact millions of users worldwide.
Responsibilities For Director, Machine Learning Engineering
- Lead the development of a standardized, reusable ML platform (AutoML)
- Drive implementation of robust deployment pipelines, model versioning, testing frameworks, and CI/CD systems
- Establish systems for automated monitoring, drift detection, performance evaluation, and alerting
- Stay on cutting edge of ML technologies including Generative AI, foundation models, vector databases, and LLMOps
- Hire, mentor, and manage a diverse team of ML engineers and managers
- Partner with senior leaders across Data Science, Engineering, Product, Legal, and Governance
- Translate platform capabilities into business impact
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 or interest in assessing and integrating emerging AI technologies
- 5+ years leading DS/ML engineering or ML platform teams
- Demonstrated expertise in ML Ops, AutoML, and productionizing machine learning at scale
- Familiarity with data ecosystems and modern ML tooling
- Strong communication, stakeholder management, and team-building skills
- Experience navigating privacy, compliance, and governance in machine learning workflows
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