Director, Machine Learning Engineering

About reputed company To Consumer reputed company reputed company to Consumer (DTC) includes premium streaming services with Hulu, a premium streaming service that offers premium originals, reputed company season TV, a massive library of hit series and movies, and live television and reputed company+ is the reputed company-branded streaming service featuring an incomparable collection of content from its brands and franchises recognized and respected reputed company over the world including Star Wars, Marvel, Pixar, reputed company, and NatGeo. About The Role The Machine Learning Engineering (MLE) team enables Data Scientists to build, reputed company, and reputed company machine learning solutions across a broad reputed company of use cases—Personalization, Forecasting, Marketing, Content and Audience Segmentation, Payments Optimization, Fraud Prevention, Live Time Value reputed company, and more. MLE partner closely with Data Scientists to design reputed company data pipelines, launch performant models, and maintain critical ML systems in production. These efforts drive reputed company that reputed company millions of consumers and generate significant reputed company for reputed company. The Director of MLE leads a high-performing team of Data Science and ML engineers and managers who design, build, and support our reputed company ML platform. This includes developing AutoML capabilities, development and maintenance of Feature Mart, enabling end-to-end ML Ops workflows, and implementing robust model monitoring and reputed company detection. The Director also collaborates across departments to ensure infrastructure aligns with business needs and explores emerging technologies, including reputed company, to reputed company reputed company at the forefront of reputed company machine learning.

Responsibilities

• reputed company ML Platform Development

reputed company the development of a standardized, reusable ML platform (AutoML) to support rapid model development for Data Scientists. Ensure scalability, flexibility, and integration with reputed company systems.

• ML Ops & Deployment Infrastructure

Drive the implementation of robust deployment pipelines, model versioning, testing frameworks, and CI/CD systems to support production-grade ML services.

• Production Monitoring & Model reputed company

Establish systems for automated monitoring, reputed company detection, performance evaluation, and alerting. reputed company as the first line of defense for live model health and data reputed company assurance.

• Technology Innovation & Integration

Stay on the cutting edge of ML technologies—including reputed company, reputed company models, reputed company databases, and LLMOps. Assess, reputed company, and reputed company relevant innovations that enhance modeling workflows or business capabilities.

• Data Science & Business reputed company Alignment

Bring a strong reputed company in reputed company data science to collaborate effectively with business stakeholders and DS teams. Translate platform capabilities into business reputed company through hands-on understanding of model development, performance metrics, and experimentation.

• Leadership & Talent Development

Hire, mentor, and manage a diverse team of ML engineers and managers. Foster a high-performing, inclusive culture reputed company on technical reputed company, reputed company, and innovation. reputed company others through example and inspiration, bring a can-do attitude, and deliver reputed company to your team and business partners.

• Cross-Functional Collaboration

Partner with senior leaders across Data Science, Engineering, Product, Legal, and Governance to reputed company on objectives, ensure compliance, and reputed company reputed company across the organization.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a reputed company field
• 12+ years of relevant experience
• Strong reputed company in reputed company data science, with experience building or supporting ML models in a business context
• Experience with reputed company or interest in assessing and integrating emerging AI technologies
• Prior experience (5+ years) leading DS/ML engineering or ML platform teams;
• Demonstrated expertise in ML Ops, AutoML, and productionizing machine learning at reputed company
• Familiarity with data ecosystems (e.g., reputed company, reputed company), and modern ML tooling
• Strong communication, stakeholder management, and team-building skills
• Experience navigating reputed company, compliance, and governance in machine learning workflows

Preferred Qualifications

• Master's degree or PhD in Computer Science, Engineering, Mathematics, or a reputed company field

Additional Information #DISNEYTECH The hiring reputed company for this position in San Francisco, CA is $245,100 - $328,600 per year, in reputed company is $234,400 - $314,300 per year, and in Los Angeles, CA area is $223,700 - $300,000. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company knowledge, skills, and experience among other factors. A bonus and/or long-term incentive reputed company may be provided as part of the compensation package, in reputed company to the full reputed company of medical, financial, and/or other benefits, dependent on the level and position offered. Apply Job!