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, combined with strong leadership abilities to manage and mentor a team of engineers and managers.
The ideal candidate brings 12+ years of experience, with at least 5 years leading ML engineering teams. They should have a strong foundation in applied data science and stay current with emerging technologies, particularly in Generative AI. 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 innovation. You'll work with cutting-edge technologies while solving complex challenges that affect millions of users. The role offers exposure to various aspects of the business, from technical implementation to strategic decision-making, while working with Disney's beloved brands and content.
Working in a hybrid environment, you'll collaborate with teams across Data Science, Engineering, Product, and other departments. The position requires a balance of technical excellence, leadership skills, and business acumen to drive impactful ML solutions at scale.
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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