The Senior Machine Learning Engineering (MLE) team enables Data Scientists to build, deploy, and scale machine learning solutions across a broad range of use cases—Personalization, Forecasting, Marketing, Content and Audience Segmentation, Payments Optimization, Fraud Prevention, Live Time Value prediction, and more. MLE partners closely with Data Scientists to design scalable data pipelines, launch performant models, and maintain critical ML systems in production. These efforts drive decisions that impact millions of consumers and generate significant revenue for The Walt Disney Company. The Senior Machine Learning Engineer works with a high-performing team of data scientists and ML engineers who design, build, and support our unified ML platform. This includes developing AutoML capabilities, maintaining the Feature Mart, enabling end-to-end ML Ops workflows, and implementing robust model monitoring and drift detection. The Senior Machine Learning Engineer also collaborates across departments to ensure infrastructure aligns with business needs and explores emerging technologies, including Generative AI, to keep Disney at the forefront of applied machine learning. Key Responsibilities Unified ML Platform Development Lead the development of a standardized, reusable ML platform (AutoML) to support rapid model development for Data Scientists. Ensure scalability, flexibility, and integration with enterprise 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. Establish systems for automated monitoring, drift detection, performance evaluation, and alerting. Act as the first line of defense for live model health and data quality assurance. Technology Innovation & Integration Stay on the cutting edge of ML technologies—including Generative AI, foundation models, vector databases, and LLMOps. Assess, pilot, and integrate relevant innovations that enhance modeling workflows or business capabilities. Cross-Functional Collaboration Partner with senior leaders across Data Science, Engineering, Product, Legal, and Governance to align on objectives, ensure compliance, and scale impact across the organization. Required Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field 5+ years working in DS/ML engineering or ML platform Strong foundation in applied data science, with experience building or supporting ML models in a business context Experience with Generative AI or interest in assessing and integrating emerging AI technologies Demonstrated expertise in ML Ops, AutoML, and productionizing machine learning at scale Familiarity with data ecosystems (e.g., Snowflake, DataBricks), and modern ML tooling Strong communication, stakeholder management, and team-building skills Experience navigating privacy, compliance, and governance in machine learning workflows Preferred Qualifications Master’s degree or PhD in Computer Science, Engineering, Mathematics, or a related field #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY is $145,500 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. The actual offered salary will depend on internal equity, geographic region, candidate’s knowledge, skills, and experience. Compensation may include bonuses and long-term incentives, along with medical, financial, and other benefits. 其他資訊: DISNEYTECH Disability Accommodation for Employment Applications The Walt Disney Company and its affiliates are Equal Employment Opportunity employers. We welcome all job seekers, including individuals with disabilities and veterans with disabilities. If you need a reasonable accommodation to apply, please visit the Disney candidate disability accommodations FAQs. We will respond only to requests related to accessibility of the online application system due to a disability.

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